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Biblioteca

MARC Lista (tabellare)
Agent computing and multi-agent systems : 9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006, Guilin, China, August 7-8, 2006 : proceedings / / Zhong-Zhi Shi, Ramakoti Sadananda (eds.)
Agent computing and multi-agent systems : 9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006, Guilin, China, August 7-8, 2006 : proceedings / / Zhong-Zhi Shi, Ramakoti Sadananda (eds.)
Edizione [1st ed. 2006.]
Pubbl/distr/stampa Berlin ; ; New York, : Springer, c2006
Descrizione fisica 1 online resource (XVII, 827 p.)
Disciplina 006.3
Altri autori (Persone) ShiZhongzhi
SadanandaR. <1944->
Collana Lecture notes in computer science. Lecture notes in artificial intelligence
LNCS sublibrary. SL 7, Artificial intelligence
Soggetto topico Intelligent agents (Computer software)
ISBN 3-540-36860-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Talks -- Agent Model -- Agent Architectures -- Agent-Oriented Software Engineering -- Agent Grid -- Semantic Web Services -- Collaboration -- Coordination and Negotiation -- Agent Learning -- Peer to Peer Computing -- Applications -- Short Papers.
Altri titoli varianti PRIMA 2006
Record Nr. UNINA-9910484564103321
Berlin ; ; New York, : Springer, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligence Science I : Second IFIP TC 12 International Conference, ICIS 2017, Shanghai, China, October 25-28, 2017, Proceedings / / edited by Zhongzhi Shi, Ben Goertzel, Jiali Feng
Intelligence Science I : Second IFIP TC 12 International Conference, ICIS 2017, Shanghai, China, October 25-28, 2017, Proceedings / / edited by Zhongzhi Shi, Ben Goertzel, Jiali Feng
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXVIII, 454 p. 183 illus.)
Disciplina 006.3
Collana IFIP Advances in Information and Communication Technology
Soggetto topico Artificial intelligence
Optical data processing
Data mining
Computer communication systems
Algorithms
Information storage and retrieval
Artificial Intelligence
Image Processing and Computer Vision
Data Mining and Knowledge Discovery
Computer Communication Networks
Algorithm Analysis and Problem Complexity
Information Storage and Retrieval
ISBN 3-319-68121-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910254826203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intelligence Science II : Third IFIP TC 12 International Conference, ICIS 2018, Beijing, China, November 2-5, 2018, Proceedings / / edited by Zhongzhi Shi, Cyriel Pennartz, Tiejun Huang
Intelligence Science II : Third IFIP TC 12 International Conference, ICIS 2018, Beijing, China, November 2-5, 2018, Proceedings / / edited by Zhongzhi Shi, Cyriel Pennartz, Tiejun Huang
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XXXIII, 484 p. 159 illus.)
Disciplina 006.3
Collana IFIP Advances in Information and Communication Technology
Soggetto topico Artificial intelligence
User interfaces (Computer systems)
Human-computer interaction
Data mining
Computers, Special purpose
Information technology - Management
Computer vision
Artificial Intelligence
User Interfaces and Human Computer Interaction
Data Mining and Knowledge Discovery
Special Purpose and Application-Based Systems
Computer Application in Administrative Data Processing
Computer Vision
ISBN 3-030-01313-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910299360303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
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Lo trovi qui: Univ. Federico II
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Intelligence science III : 4th IFIP TC 12 international conference, ICIS 2020, Durgapur, India, February 24-27, 2021 : revised selected papers / / Zhongzhi Shi, Mihir Chakraborty, Samarjit Kar (editors)
Intelligence science III : 4th IFIP TC 12 international conference, ICIS 2020, Durgapur, India, February 24-27, 2021 : revised selected papers / / Zhongzhi Shi, Mihir Chakraborty, Samarjit Kar (editors)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (316 pages)
Disciplina 006.3
Collana IFIP Advances in Information and Communication Technology
Soggetto topico Artificial intelligence
ISBN 3-030-74826-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464496303316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Intelligence science III : 4th IFIP TC 12 international conference, ICIS 2020, Durgapur, India, February 24-27, 2021 : revised selected papers / / Zhongzhi Shi, Mihir Chakraborty, Samarjit Kar (editors)
Intelligence science III : 4th IFIP TC 12 international conference, ICIS 2020, Durgapur, India, February 24-27, 2021 : revised selected papers / / Zhongzhi Shi, Mihir Chakraborty, Samarjit Kar (editors)
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (316 pages)
Disciplina 006.3
Collana IFIP Advances in Information and Communication Technology
Soggetto topico Artificial intelligence
ISBN 3-030-74826-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484269803321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intelligence Science IV : 5th IFIP TC 12 International Conference, ICIS 2022, Xi'an, China, October 28-31, 2022, proceedings / / edited by Zhongzhi Shi, Yaochu Jin, Xiangrong Zhang
Intelligence Science IV : 5th IFIP TC 12 International Conference, ICIS 2022, Xi'an, China, October 28-31, 2022, proceedings / / edited by Zhongzhi Shi, Yaochu Jin, Xiangrong Zhang
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (480 pages)
Disciplina 929.605
Collana IFIP Advances in Information and Communication Technology Ser.
Soggetto topico Cognition
ISBN 3-031-14903-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Abstracts of Keynote and Invited Talks -- Tactile Situations: A Basis for Manual Intelligence and Learning -- Brain-like Perception and Cognition: Challenges and Thinking -- Dealing with Concept Drifts in Data Streams -- A Novel Bionic Imaging and Its Intelligent Processing -- Skill Learning in Dynamic Scene for Robot Operations -- Emerging Artificial Intelligence Technologies in Healthcare -- Memory Cognition -- Contents -- Brain Cognition -- Mouse-Brain Topology Improved Evolutionary Neural Network for Efficient Reinforcement Learning -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 The Allen Mouse Brain Atlas -- 3.2 The Clustered Hierarchical Circuits -- 3.3 The Neuron Model -- 3.4 Coping the Biological Circuits to Artificial Ones -- 3.5 The Network Learning -- 4 Experiments -- 4.1 The Clustered Brain Regions -- 4.2 The Network Topology from Biological Mouse Brain -- 4.3 Results with Circuit-46 and Random Networks -- 4.4 Result Comparison with Different Algorithms -- 5 Discussion -- References -- DNM-SNN: Spiking Neural Network Based on Dual Network Model -- 1 Introduction -- 2 Methods -- 2.1 Traditional SNN Supervised Learning Algorithm Framework and Its Limitations -- 2.2 Proposed Dual-Model Spike Network Supervised Learning Algorithm -- 2.3 Proposed Multi-channel Mix Module Prediction Method -- 2.4 The Chosen Network Model -- 2.5 Selection of Spiking Neurons -- 3 Experimental Results -- 3.1 Single- and Dual-Model Resnet11 Performance on the CIFAR-10 Dataset -- 3.2 Related Work Comparison -- 4 Conclusion -- References -- A Memetic Algorithm Based on Adaptive Simulated Annealing for Community Detection -- 1 Introduction -- 2 Background -- 2.1 Modularity -- 2.2 Normalized Mutual Information -- 3 Description of MA-ASA -- 3.1 Segmented Label Propagation -- 3.2 Selection and Crossover Operation.
3.3 Mutation Operation -- 3.4 Improved Simulated Annealing -- 3.5 Framework of MA-ASA -- 4 Experiments and Analysis -- 4.1 Experimental Settings -- 4.2 Experimental Results and Analysis -- 5 Conclusion -- References -- The Model of an Explanation of Self and Self-awareness Based on Need Evolution -- 1 Background and Significance -- 2 The Nature and Needs of Life -- 2.1 The Nature and Representation of the Self -- 2.2 The Primary Needs and Principle of Life -- 3 Evolution and Representation of the Needs of Life -- 3.1 Needs Representation and Original Self-evolution in Single-Celled and Complex Organisms -- 3.2 Representation Needs and Self-awareness of Human -- 4 Self-model Based on the Evolution of Needs -- 4.1 Iterative Model of Needs Evolution -- 4.2 Evolutionary Model of the Self -- 5 Dicussion and Conclusion -- References -- Spiking Neuron Network Based on VTEAM Memristor and MOSFET-LIF Neuron -- 1 Introduction -- 2 Proposed Method -- 2.1 Leaky Integrate-and-Fire Model -- 2.2 Design of LIF Circuit -- 2.3 Correspondence Between Network and Circuit -- 2.4 Processing of the DVS128 Gesture Dataset -- 2.5 Network Formulation -- 3 Performance Analysis and Discussion -- 4 Conclusion -- References -- Machine Learning -- A Deception Jamming Discrimination Method Based on Semi-supervised Learning with Generative Adversarial Networks -- 1 Introduction -- 2 Signal Model -- 2.1 The Construction of a Multistatic Radar System Model -- 2.2 Generation of Echo Data -- 3 The Discrimination Network Based on SGAN -- 4 Simulation -- 4.1 Simulation Analysis -- 4.2 Simulation Results with Different PRI -- 4.3 The Comparison of Different Discrimination Methods -- 5 Conclusion -- References -- Fast Node Selection of Networked Radar Based on Transfer Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 2.1 Radar Node Selection -- 2.2 Reinforcement Learning.
2.3 Transfer Learning -- 3 Methodology -- 3.1 Revisiting of Monte Carlo Tree -- 3.2 The Lower Bound of Cramero (CLRB) -- 3.3 Selection Flow -- 3.4 Variable-Number Node Search -- 3.5 Transfer Reinforcement Learning -- 4 Experiments and Analysis -- 5 Conclusion -- References -- Weakly Supervised Liver Tumor Segmentation Based on Anchor Box and Adversarial Complementary Learning -- 1 Introduction -- 2 Approach -- 2.1 Anchor Boxes Generation -- 2.2 Adversarial Complementary Learning -- 2.3 Application -- 2.4 Pseudo Mask Generation -- 3 Experiments -- 3.1 Datasets and Evaluated Metric -- 3.2 Classification Network and Hyperparameter Settings -- 3.3 Segmentation Network and Test Results -- 4 Conclusions -- References -- Weakly Supervised Whole Cardiac Segmentation via Attentional CNN -- 1 Introduction -- 2 Method -- 2.1 Pseudo Masks -- 2.2 Deep U-Net Network -- 2.3 Improved Weighted Cross-Entropy Loss -- 3 Experimental and Results -- 3.1 Datasets and Implementation Details -- 3.2 Patch Selection -- 3.3 Experimental Results -- 3.4 Ablation Experiments -- 3.5 Generality Experiments -- 4 Conclusion -- References -- Noisy Label Learning in Deep Learning -- 1 Introduction -- 2 Preliminary Knowledge -- 2.1 Noisy Labels in Deep Learning -- 2.2 Noisy Label Dataset and Noisy Label Types -- 2.3 Analysis the Problems in Noisy Label Learning -- 3 Existing Methods of Noisy Label Learning -- 3.1 Full-Equal-Using Method -- 3.2 Clean-Based Method -- 3.3 Full-Differ-Using Method -- 4 Problems in Existing Methods -- 4.1 Difference Between Synthetic Dataset and the Actual Dataset -- 4.2 Problems with Existing Methods -- 4.3 Possible Solutions -- 5 Conclusion -- References -- Accelerating Deep Convolutional Neural Network Inference Based on OpenCL -- 1 Introduction -- 2 Related Work -- 3 Design, Implementation and Optimization of CNN on OpenCL.
3.1 Parallel Strategy for Convolution Layer -- 3.2 Parallel Strategy for Other Layers -- 3.3 Kernel Fusion and Increasing Global Task -- 4 Experiment and Evaluations -- 4.1 Experimental Environment -- 4.2 Performance Comparison of Depthwise Convolution Operations -- 4.3 Comparison of Parallel DCNN Inference Performance -- 4.4 Performance Comparison of Different Hardware Environments -- 5 Conclusions -- References -- A Simple Approach to the Multiple Source Identification of Information Diffusion -- 1 Introduction -- 2 Related Works and Motivations -- 2.1 Related Methods -- 2.2 Motivations -- 3 Preliminaries and Problem Formulation -- 3.1 Susceptible-Infected (SI) Model -- 3.2 Problem Formulation -- 4 KST Method -- 4.1 Analysis -- 4.2 KST Method -- 5 KST-Improved Method -- 6 Evaluation -- 6.1 Experiments Settings -- 6.2 Accuracy of Identifying Sources -- 7 Conclusion -- References -- Data Intelligence -- A Directed Search Many Objective Optimization Algorithm Embodied with Kernel Clustering Strategy -- 1 Introduction -- 2 The Proposed Method -- 2.1 Directed Search Sampling and Guiding Solutions -- 2.2 Environmental Selection -- 3 Experimental Results and Analysis -- 4 Conclusion -- References -- A Two-Branch Neural Network Based on Superpixel Segmentation and Auxiliary Samples -- 1 Introduction -- 2 Proposed Method -- 2.1 Selection of Auxiliary Samples -- 2.2 The Structure of TBN-SPAS -- 3 Implementation Process of TBN-MERS -- 4 Experiment and Analysis -- 4.1 Experimental Settings -- 4.2 The Role of Auxiliary Branch -- 4.3 Comparison with Existing Methods -- 5 Conclusions -- References -- Augmentation Based Synthetic Sampling and Ensemble Techniques for Imbalanced Data Classification -- 1 Introduction -- 2 Augmentation Based Synthetic Sampling Method -- 2.1 Data Augmentation (DA) -- 2.2 Notations -- 2.3 Proposed Method.
3 Experiment Settings and Result Analysis -- 3.1 Datasets -- 3.2 Evaluation Metric -- 3.3 Experimental Results -- 4 Integration of Augmentation Based Synthetic Sampling Method and Ensemble Techniques -- 5 Conclusion -- References -- Language Cognition -- BA-GAN: Bidirectional Attention Generation Adversarial Network for Text-to-Image Synthesis -- 1 Introduction -- 2 Related Work -- 3 Our Model -- 3.1 Text Encoder and Image Encoder -- 3.2 Multi-stage Generative Adversarial Networks -- 4 Experiments -- 5 Conclusion -- References -- Personalized Recommendation Using Extreme Individual Guided and Adaptive Strategies -- 1 Introduction -- 2 Background -- 2.1 Definition of Recommendation Problem -- 2.2 Multi-objective Optimization Problem -- 2.3 Probs -- 3 Proposed Algorithm -- 3.1 Framework of MOEA-EIMA -- 3.2 Individual Encoding and Initialization -- 3.3 The Two Objectives -- 3.4 Genetic Operators -- 4 Experiments and Analysis -- 4.1 Experiment Settings -- 4.2 Experimental Results -- 5 Conclusions -- References -- Improved Transformer-Based Implicit Latent GAN with Multi-headed Self-attention for Unconditional Text Generation -- 1 Introduction -- 1.1 Generative Adversarial Network (GAN) for Unconditional Text Generation -- 1.2 Research Objective and Content -- 2 Related Works -- 3 Model Architecture -- 3.1 Overall Framework -- 3.2 Multi-headed Self Attention Based Generator -- 3.3 Training Details -- 4 Experiments -- 4.1 Evaluation Metrics -- 4.2 Microsoft COCO: Common Objects in Context -- 4.3 Ablation Experiment -- 5 Conclusion and Future Work -- References -- Learning a Typhoon Bayesian Network Structure from Natural Language Reports -- 1 Introduction -- 2 Related Works -- 3 The Framework of Learning Typhoon Bayesian Network Structures -- 3.1 State Extraction Model -- 3.2 Standardize State Information -- 3.3 Causal Relationship Extraction.
3.4 Generate Typhoon Bayesian Network.
Record Nr. UNISA-996495562503316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Intelligence Science IV : 5th IFIP TC 12 International Conference, ICIS 2022, Xi'an, China, October 28–31, 2022, Proceedings / / edited by Zhongzhi Shi, Yaochu Jin, Xiangrong Zhang
Intelligence Science IV : 5th IFIP TC 12 International Conference, ICIS 2022, Xi'an, China, October 28–31, 2022, Proceedings / / edited by Zhongzhi Shi, Yaochu Jin, Xiangrong Zhang
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (480 pages)
Disciplina 929.605
006.3
Collana IFIP Advances in Information and Communication Technology
Soggetto topico Artificial intelligence
Computer vision
Application software
Pattern recognition systems
Education - Data processing
Artificial Intelligence
Computer Vision
Computer and Information Systems Applications
Automated Pattern Recognition
Computers and Education
ISBN 3-031-14903-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Abstracts of Keynote and Invited Talks -- Tactile Situations: A Basis for Manual Intelligence and Learning -- Brain-like Perception and Cognition: Challenges and Thinking -- Dealing with Concept Drifts in Data Streams -- A Novel Bionic Imaging and Its Intelligent Processing -- Skill Learning in Dynamic Scene for Robot Operations -- Emerging Artificial Intelligence Technologies in Healthcare -- Memory Cognition -- Contents -- Brain Cognition -- Mouse-Brain Topology Improved Evolutionary Neural Network for Efficient Reinforcement Learning -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 The Allen Mouse Brain Atlas -- 3.2 The Clustered Hierarchical Circuits -- 3.3 The Neuron Model -- 3.4 Coping the Biological Circuits to Artificial Ones -- 3.5 The Network Learning -- 4 Experiments -- 4.1 The Clustered Brain Regions -- 4.2 The Network Topology from Biological Mouse Brain -- 4.3 Results with Circuit-46 and Random Networks -- 4.4 Result Comparison with Different Algorithms -- 5 Discussion -- References -- DNM-SNN: Spiking Neural Network Based on Dual Network Model -- 1 Introduction -- 2 Methods -- 2.1 Traditional SNN Supervised Learning Algorithm Framework and Its Limitations -- 2.2 Proposed Dual-Model Spike Network Supervised Learning Algorithm -- 2.3 Proposed Multi-channel Mix Module Prediction Method -- 2.4 The Chosen Network Model -- 2.5 Selection of Spiking Neurons -- 3 Experimental Results -- 3.1 Single- and Dual-Model Resnet11 Performance on the CIFAR-10 Dataset -- 3.2 Related Work Comparison -- 4 Conclusion -- References -- A Memetic Algorithm Based on Adaptive Simulated Annealing for Community Detection -- 1 Introduction -- 2 Background -- 2.1 Modularity -- 2.2 Normalized Mutual Information -- 3 Description of MA-ASA -- 3.1 Segmented Label Propagation -- 3.2 Selection and Crossover Operation.
3.3 Mutation Operation -- 3.4 Improved Simulated Annealing -- 3.5 Framework of MA-ASA -- 4 Experiments and Analysis -- 4.1 Experimental Settings -- 4.2 Experimental Results and Analysis -- 5 Conclusion -- References -- The Model of an Explanation of Self and Self-awareness Based on Need Evolution -- 1 Background and Significance -- 2 The Nature and Needs of Life -- 2.1 The Nature and Representation of the Self -- 2.2 The Primary Needs and Principle of Life -- 3 Evolution and Representation of the Needs of Life -- 3.1 Needs Representation and Original Self-evolution in Single-Celled and Complex Organisms -- 3.2 Representation Needs and Self-awareness of Human -- 4 Self-model Based on the Evolution of Needs -- 4.1 Iterative Model of Needs Evolution -- 4.2 Evolutionary Model of the Self -- 5 Dicussion and Conclusion -- References -- Spiking Neuron Network Based on VTEAM Memristor and MOSFET-LIF Neuron -- 1 Introduction -- 2 Proposed Method -- 2.1 Leaky Integrate-and-Fire Model -- 2.2 Design of LIF Circuit -- 2.3 Correspondence Between Network and Circuit -- 2.4 Processing of the DVS128 Gesture Dataset -- 2.5 Network Formulation -- 3 Performance Analysis and Discussion -- 4 Conclusion -- References -- Machine Learning -- A Deception Jamming Discrimination Method Based on Semi-supervised Learning with Generative Adversarial Networks -- 1 Introduction -- 2 Signal Model -- 2.1 The Construction of a Multistatic Radar System Model -- 2.2 Generation of Echo Data -- 3 The Discrimination Network Based on SGAN -- 4 Simulation -- 4.1 Simulation Analysis -- 4.2 Simulation Results with Different PRI -- 4.3 The Comparison of Different Discrimination Methods -- 5 Conclusion -- References -- Fast Node Selection of Networked Radar Based on Transfer Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 2.1 Radar Node Selection -- 2.2 Reinforcement Learning.
2.3 Transfer Learning -- 3 Methodology -- 3.1 Revisiting of Monte Carlo Tree -- 3.2 The Lower Bound of Cramero (CLRB) -- 3.3 Selection Flow -- 3.4 Variable-Number Node Search -- 3.5 Transfer Reinforcement Learning -- 4 Experiments and Analysis -- 5 Conclusion -- References -- Weakly Supervised Liver Tumor Segmentation Based on Anchor Box and Adversarial Complementary Learning -- 1 Introduction -- 2 Approach -- 2.1 Anchor Boxes Generation -- 2.2 Adversarial Complementary Learning -- 2.3 Application -- 2.4 Pseudo Mask Generation -- 3 Experiments -- 3.1 Datasets and Evaluated Metric -- 3.2 Classification Network and Hyperparameter Settings -- 3.3 Segmentation Network and Test Results -- 4 Conclusions -- References -- Weakly Supervised Whole Cardiac Segmentation via Attentional CNN -- 1 Introduction -- 2 Method -- 2.1 Pseudo Masks -- 2.2 Deep U-Net Network -- 2.3 Improved Weighted Cross-Entropy Loss -- 3 Experimental and Results -- 3.1 Datasets and Implementation Details -- 3.2 Patch Selection -- 3.3 Experimental Results -- 3.4 Ablation Experiments -- 3.5 Generality Experiments -- 4 Conclusion -- References -- Noisy Label Learning in Deep Learning -- 1 Introduction -- 2 Preliminary Knowledge -- 2.1 Noisy Labels in Deep Learning -- 2.2 Noisy Label Dataset and Noisy Label Types -- 2.3 Analysis the Problems in Noisy Label Learning -- 3 Existing Methods of Noisy Label Learning -- 3.1 Full-Equal-Using Method -- 3.2 Clean-Based Method -- 3.3 Full-Differ-Using Method -- 4 Problems in Existing Methods -- 4.1 Difference Between Synthetic Dataset and the Actual Dataset -- 4.2 Problems with Existing Methods -- 4.3 Possible Solutions -- 5 Conclusion -- References -- Accelerating Deep Convolutional Neural Network Inference Based on OpenCL -- 1 Introduction -- 2 Related Work -- 3 Design, Implementation and Optimization of CNN on OpenCL.
3.1 Parallel Strategy for Convolution Layer -- 3.2 Parallel Strategy for Other Layers -- 3.3 Kernel Fusion and Increasing Global Task -- 4 Experiment and Evaluations -- 4.1 Experimental Environment -- 4.2 Performance Comparison of Depthwise Convolution Operations -- 4.3 Comparison of Parallel DCNN Inference Performance -- 4.4 Performance Comparison of Different Hardware Environments -- 5 Conclusions -- References -- A Simple Approach to the Multiple Source Identification of Information Diffusion -- 1 Introduction -- 2 Related Works and Motivations -- 2.1 Related Methods -- 2.2 Motivations -- 3 Preliminaries and Problem Formulation -- 3.1 Susceptible-Infected (SI) Model -- 3.2 Problem Formulation -- 4 KST Method -- 4.1 Analysis -- 4.2 KST Method -- 5 KST-Improved Method -- 6 Evaluation -- 6.1 Experiments Settings -- 6.2 Accuracy of Identifying Sources -- 7 Conclusion -- References -- Data Intelligence -- A Directed Search Many Objective Optimization Algorithm Embodied with Kernel Clustering Strategy -- 1 Introduction -- 2 The Proposed Method -- 2.1 Directed Search Sampling and Guiding Solutions -- 2.2 Environmental Selection -- 3 Experimental Results and Analysis -- 4 Conclusion -- References -- A Two-Branch Neural Network Based on Superpixel Segmentation and Auxiliary Samples -- 1 Introduction -- 2 Proposed Method -- 2.1 Selection of Auxiliary Samples -- 2.2 The Structure of TBN-SPAS -- 3 Implementation Process of TBN-MERS -- 4 Experiment and Analysis -- 4.1 Experimental Settings -- 4.2 The Role of Auxiliary Branch -- 4.3 Comparison with Existing Methods -- 5 Conclusions -- References -- Augmentation Based Synthetic Sampling and Ensemble Techniques for Imbalanced Data Classification -- 1 Introduction -- 2 Augmentation Based Synthetic Sampling Method -- 2.1 Data Augmentation (DA) -- 2.2 Notations -- 2.3 Proposed Method.
3 Experiment Settings and Result Analysis -- 3.1 Datasets -- 3.2 Evaluation Metric -- 3.3 Experimental Results -- 4 Integration of Augmentation Based Synthetic Sampling Method and Ensemble Techniques -- 5 Conclusion -- References -- Language Cognition -- BA-GAN: Bidirectional Attention Generation Adversarial Network for Text-to-Image Synthesis -- 1 Introduction -- 2 Related Work -- 3 Our Model -- 3.1 Text Encoder and Image Encoder -- 3.2 Multi-stage Generative Adversarial Networks -- 4 Experiments -- 5 Conclusion -- References -- Personalized Recommendation Using Extreme Individual Guided and Adaptive Strategies -- 1 Introduction -- 2 Background -- 2.1 Definition of Recommendation Problem -- 2.2 Multi-objective Optimization Problem -- 2.3 Probs -- 3 Proposed Algorithm -- 3.1 Framework of MOEA-EIMA -- 3.2 Individual Encoding and Initialization -- 3.3 The Two Objectives -- 3.4 Genetic Operators -- 4 Experiments and Analysis -- 4.1 Experiment Settings -- 4.2 Experimental Results -- 5 Conclusions -- References -- Improved Transformer-Based Implicit Latent GAN with Multi-headed Self-attention for Unconditional Text Generation -- 1 Introduction -- 1.1 Generative Adversarial Network (GAN) for Unconditional Text Generation -- 1.2 Research Objective and Content -- 2 Related Works -- 3 Model Architecture -- 3.1 Overall Framework -- 3.2 Multi-headed Self Attention Based Generator -- 3.3 Training Details -- 4 Experiments -- 4.1 Evaluation Metrics -- 4.2 Microsoft COCO: Common Objects in Context -- 4.3 Ablation Experiment -- 5 Conclusion and Future Work -- References -- Learning a Typhoon Bayesian Network Structure from Natural Language Reports -- 1 Introduction -- 2 Related Works -- 3 The Framework of Learning Typhoon Bayesian Network Structures -- 3.1 State Extraction Model -- 3.2 Standardize State Information -- 3.3 Causal Relationship Extraction.
3.4 Generate Typhoon Bayesian Network.
Record Nr. UNINA-9910619279303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent information processing IV : 5th ifip international conference on intelligent information processing, october 19-22, 2008, beijing, china / / edited by David Leake, Eunikka Mercier-Laurent, Zhongzhi shi
Intelligent information processing IV : 5th ifip international conference on intelligent information processing, october 19-22, 2008, beijing, china / / edited by David Leake, Eunikka Mercier-Laurent, Zhongzhi shi
Edizione [1st ed. 2008.]
Pubbl/distr/stampa New York, New York : , : Springer, , [2008]
Descrizione fisica 1 online resource (276 p.)
Disciplina 006.3
Collana IFIP Advances in Information and Communication Technology
Soggetto topico computer sciences
kunstmatige intelligentie
computerwetenschappen
ISBN 0-387-87685-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Keynote Presentations -- Semantic Computing -- Towards Brain-inspired Web Intelligence -- Data Mining Technologies Inspired from Visual Principle -- Semantic Web Services -- A Context Model for Service Composition Based on Dynamic Description Logic -- Evaluation of Ontologies and DL Reasoners -- ER2OWL: Generating OWL Ontology from ER Diagram -- Knowledge Acquisition and Management -- Voice knowledge acquisition system for the management of cultural heritage -- Granularity of Knowledge from Different Sources -- Fuzzy Ontology Models Based on Fuzzy Linguistic Variable for Knowledge Management and Information Retrieval -- Data Mining -- Blog Classification: Adding Linguistic Knowledge to Improve the K-NN Algorithm -- A Modified Clustering Method with Fuzzy Ants -- An New Algorithm for Modeling Regression Curve -- Web Search -- Enhancing Web Search with Heterogeneous Semantic Knowledge -- Exploring Words with Semantic Correlations from Chinese Wikipedia -- A Heuristic Knowledge Reduction Algorithm Based on Partition Subdivision and Consistent Degree -- Cognition-based Intelligent Information Processing -- Object-based Image Retrieval with Attention Analysis and Spatial Re-ranking -- Forecasting Stock Exchange Movements Using Artificial Neural Network Models and Hybrid Models -- A Robot Emotion Generation Mechanism Based on PAD Emotion Space -- Study of Personalized Network Tutoring System Based on Emotional-cognitive Interaction -- Image Processing -- A Novel Fingerprint Matching Method Combining Geometric and Texture Features -- Distinctive Image Region Features from Color Invariant Moments -- Inter-video Similarity for Video Parsing -- Image Segmentation of Historical Handwriting from Palm Leaf Manuscripts -- Virtual Organization and Applications -- Virtual Organizations: Trends and Models -- A Survey of UML Based Regression Testing -- Virtual Organizations: An Overview -- Risk Management and Computational Linguistics -- A Risk Assessment System with Automatic Extraction of Event Types -- Addressing Risk Assessment for Patient Safety in Hospitals through Information Extraction in Medical Reports -- An SMS-based System Architecture (Logical Model) to Support Management of Information Exchange in Emergency Stuations. poLINT-112-SMS PROJECT -- Semi Automatic Ontology Instantiation in the domain of Risk Management.
Record Nr. UNINA-9910483248103321
New York, New York : , : Springer, , [2008]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Information Processing IX : 10th IFIP TC 12 International Conference, IIP 2018, Nanning, China, October 19-22, 2018, Proceedings / / edited by Zhongzhi Shi, Eunika Mercier-Laurent, Jiuyong Li
Intelligent Information Processing IX : 10th IFIP TC 12 International Conference, IIP 2018, Nanning, China, October 19-22, 2018, Proceedings / / edited by Zhongzhi Shi, Eunika Mercier-Laurent, Jiuyong Li
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XVIII, 448 p. 189 illus.)
Disciplina 006.3
Collana IFIP Advances in Information and Communication Technology
Soggetto topico Artificial intelligence
Computers
Optical data processing
Computer communication systems
Computer security
Artificial Intelligence
Information Systems and Communication Service
Image Processing and Computer Vision
Computer Communication Networks
Systems and Data Security
ISBN 3-030-00828-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910299354603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
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Intelligent Information Processing VII : 8th IFIP TC 12 International Conference, IIP 2014, Hangzhou, China, October 17-20, 2014, Proceedings / / edited by Zhongzhi Shi, Zhaohui Wu, David Leake, Uli Sattler
Intelligent Information Processing VII : 8th IFIP TC 12 International Conference, IIP 2014, Hangzhou, China, October 17-20, 2014, Proceedings / / edited by Zhongzhi Shi, Zhaohui Wu, David Leake, Uli Sattler
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XX, 324 p. 115 illus.)
Disciplina 006.3
Collana IFIP Advances in Information and Communication Technology
Soggetto topico Artificial intelligence
Data mining
Mathematical logic
Information storage and retrieval
Pattern recognition
Computer logic
Artificial Intelligence
Data Mining and Knowledge Discovery
Mathematical Logic and Formal Languages
Information Storage and Retrieval
Pattern Recognition
Logics and Meanings of Programs
ISBN 3-662-44980-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Semi-paired Probabilistic Canonical Correlation Analysis -- Using Bat Algorithm with Levy Walk to Solve Directing Orbits of Chaotic Systems -- Complex Proteomes Analysis Using Label-Free Mass Spectrometry-Based Quantitative Approach Coupled with Biomedical Knowledge -- Online Migration Solver Based on Instructions Statistics: Algorithm for Deciding Offload Function Set on Mobile Cloud System -- Improved Hierarchical K-means Clustering Algorithm without Iteration Based on Distance Measurement -- An Optimized Tag Recommender Algorithm in Folksonomy -- Extracting Part-Whole Relations from Online Encyclopedia -- Topic Detection and Evolution Analysis on Microblog -- A DBN-Based Classifying Approach to Discover the Internet Water Army -- An Efficient Microblog Hot Topic Detection Algorithm Based on Two Stage Clustering -- Collecting Valuable Information from Fast Text Streams -- An AUML State Machine Based Method for Multi-agent Systems Model Checking -- Adaptive Mechanism Based on Shared Learning in Multi-agent System -- An Agent-Based Autonomous Management Approach to Dynamic Services -- Research and Application Analysis of Feature Binding Mechanism -- The Correspondence between Propositional Modal Logic with Axiom _φ ↔ ♦φ and the Propositional Logic -- A Sound and Complete Axiomatic System for Modality _φ ≡ _1φ ∧ _2φ -- Verification of Branch-Time Property Based on Dynamic Description Logic -- Dynamic Description Logic Based on DL-Lite -- Formalizing the Matrix Inversion Based on the Adjugate Matrix in HOL4 -- A Heuristic Approach to Acquisition of Minimum Decision Rule Sets in Decision Systems -- Cooperative Decision Algorithm for Time Critical Assignment without Explicit Communication -- Using PDDL to Solve Vehicle Routing Problems -- Automated Localization and Accurate Segmentation of Optic Disc Based on Intensity within a Minimum Enclosing Circle -- An Optimization Scheme for SVAC Audio Encoder -- A Traffic Camera Calibration Method Based on Multi-rectangle: Calibrating a Camera Using Multi-rectangle Constructed by Mark Lines in Traffic Road -- A Multi-instance Multi-label Learning Framework of Image Retrieval -- The Retrieval of Shoeprint Images Based on the Integral Histogram of the Gabor Transform Domain -- Scene Classification Using Spatial and Color Features -- Multipath Convolutional-Recursive Neural Networks for Object Recognition -- Identification of Co-regulated Gene Network by Using Path Consistency Algorithm Based on Gene Ontology -- Case Retrieval for Network Security Emergency Response Based on Description Logic -- On the Prevention of Invalid Route Injection Attack -- A Formal Model for Attack Mutation Using Dynamic Description Logics -- Efficient Integrity Protection for P2P Streaming.
Record Nr. UNINA-9910298995703321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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