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Speech and Computer [[electronic resource] ] : 17th International Conference, SPECOM 2015, Athens, Greece, September 20-24, 2015, Proceedings / / edited by Andrey Ronzhin, Rodmonga Potapova, Nikos Fakotakis
| Speech and Computer [[electronic resource] ] : 17th International Conference, SPECOM 2015, Athens, Greece, September 20-24, 2015, Proceedings / / edited by Andrey Ronzhin, Rodmonga Potapova, Nikos Fakotakis |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVI, 506 p. 135 illus.) |
| Disciplina | 006.35 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Pattern recognition Information storage and retrieval Optical data processing Database management Artificial Intelligence Information Systems Applications (incl. Internet) Pattern Recognition Information Storage and Retrieval Image Processing and Computer Vision Database Management |
| ISBN | 3-319-23132-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- About Athens -- Contents -- Invited Talks -- Multimodal Human-Robot Interaction from the Perspective of a Speech Scientist -- 1 Introduction -- 2 Major Differences Between HCI and HRI -- 3 Different Types of Robots and Resulting Implications for Interaction Schemes -- 4 Basic Interaction Schemes in Human-Robot-Communication -- 5 Conclusions -- References -- A Decade of Discriminative Language Modeling for Automatic Speech Recognition -- 1 Introduction -- 2 Features -- 2.1 Linguistic Features -- 2.2 Statistically Derived Features -- 2.3 Acoustic Features -- 3 Algorithms -- 4 Training Approaches -- 4.1 Supervised Training -- 4.2 Semi-supervised Training -- 4.3 Unsupervised Training -- 4.4 Summary of Experiments on Training Approaches -- 5 Conclusion -- References -- Conference Papers -- A Bilingual Kazakh-Russian System for Automatic Speech Recognition and Synthesis -- 1 Introduction -- 2 The Kazakh Language -- 3 Speech Synthesis and Transcription for Kazakh -- 3.1 Dictionary and POS Tagging -- 3.2 Building Transcription Rules and Synthesizing Speech -- 4 Automatic Speech Recognition for Kazakh -- 4.1 The Speech Database -- 4.2 Acoustic Models -- 4.3 Experiments -- 5 Conclusions and Future Work -- References -- A Comparative Study of Speech Processing in Microphone Arrays with Multichannel Alignment and Zelinski Post-Filtering -- 1 Introduction -- 2 Experiments and Results -- 2.1 MA Directivity Patterns -- 2.2 Incoherent and Coherent Noise Reduction Level -- 2.3 Spectrograms of the Processed Speech Signal -- 2.4 Signal-to-Deviation Ratio -- 3 Conclusions -- References -- A Comparison of RNN LM and FLM for Russian Speech Recognition -- 1 Introduction -- 2 Related Works -- 3 Recurrent Neural Network Language Model Topology -- 4 Creation of Language Models for Russian ASR.
4.1 Creation of the Baseline Language Models -- 4.2 Creation of Recurrent Neural Network Language Models -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Experiments on Rescoring N-Best Lists Using FLM -- 5.3 Experiments on Rescoring N-Best Lists Using RNN LM -- 6 Conclusion -- References -- A Frequency Domain Adaptive Decorrelating Algorithm for Speech Enhancement -- 1 Introduction -- 2 Mixing Model -- 3 Proposed Frequency Domain (FD-SAD) Algorithm -- 4 Simulations, Results, and Analysis -- 4.1 System Mismatch (SM) Evaluation -- 4.2 Segmental SNR (SegSNR) Evaluation -- 5 Conclusion -- References -- Acoustic Markers of Emotional State ``Aggression'' -- 1 Introduction -- 2 Method and Procedure -- 3 Conclusion -- 3.1 Prospects of Investigation -- References -- Algorithms for Low Bit-Rate Coding with Adaptation to Statistical Characteristics of Speech Signal -- 1 Introduction -- 2 Related Works -- 2.1 Structural Scheme of the Hybrid MELP/CELP Coder -- 2.2 Experimental Study of the Developed Adaptive Hybrid MELP/CELP Coder -- 3 Conclusion -- References -- Analysing Human-Human Negotiations with the Aim to Develop a Dialogue System -- 1 Introduction -- 2 Empirical Material and Used Software -- 3 Analysis of Human-Human Dialogues: Argument-Based Negotiation -- 3.1 Arguments and Negotiation in Telemarketing Calls -- 3.2 Negotiation in Travel Dialogues -- 3.3 Arguments and Negotiation in Everyday Dialogues -- 4 Discussion -- 5 Conclusion -- References -- Analysis of Facial Motion Capture Data for Visual Speech Synthesis -- 1 Introduction -- 2 Speech Data and Collection -- 3 Methods -- 3.1 Interpretation of Speech Data by Animation Model -- 3.2 Approximation of Speech Data -- 4 Evaluation -- 4.1 Objective Evaluation -- 4.2 Verification by Animation Model -- 5 Conclusions -- References -- Auditory-Perceptual Recognition of the Emotional State of Aggression. 1 Introduction -- 2 Method, Procedure, and Results -- 3 Conclusions -- 4 Discussion -- 5 Prospects of Investigation -- References -- Automatic Classification and Prediction of Attitudes: Audio - Visual Analysis of Video Blogs -- 1 Introduction -- 2 Methodology -- 2.1 The Vlog Corpus -- 2.2 Attitude Annotation -- 2.3 Multimodal Feature Extraction -- 3 Attitude Classification Model -- 3.1 Feature Analysis -- 3.2 Prediction by Prosodic and Visual Features -- 4 Discussion -- 5 Conclusion -- References -- Automatic Close Captioning for Live Hungarian Television Broadcast Speech: A Fast and Resource-Efficient Approach -- 1 Introduction -- 2 Related Work -- 3 System Description -- 3.1 Training Data -- 3.2 Language Modeling -- 3.3 Acoustic Models -- 3.4 Test Data and Decoding -- 4 Results -- 4.1 Broadcast Conversation -- 4.2 Decoding with Advanced Language Models -- 5 Conclusions and Future Work -- References -- Automatic Estimation of Web Bloggers' Age Using Regression Models -- 1 Introduction -- 2 Background Work -- 3 Proposed Age Estimation of Web Bloggers Using Regression Models -- 4 Experimental Setup and Results -- 5 Conclusion -- References -- Automatic Preprocessing Technique for Detection of Corrupted Speech Signal Fragments for the Purpose of Speaker Recognition -- 1 Introduction -- 2 Preprocessing Technique -- 3 Preprocessing Technique -- 3.1 Click Detector -- 3.2 Overloading Detector -- 3.3 Clipping Detector -- 3.4 Tones Detector -- 3.5 Music Detector -- 3.6 Voice Activity Detector -- 4 Experimental and Results -- 5 Conclusions -- References -- Automatic Sound Recognition of Urban Environment Events -- 1 Introduction -- 2 System Description -- 3 Experimental Setup -- 3.1 Audio Data Description -- 3.2 Feature Extraction -- 3.3 Classification -- 4 Experimental Results -- 5 Conclusions -- References. Automatically Trained TTS for Effective Attacks to Anti-spoofing System -- 1 Introduction -- 2 Anti-spoofing System -- 3 Spoofing Attack Modelling -- 4 Experiments -- 4.1 TTS Training Database -- 4.2 Evaluation Results -- 5 Conclusion -- References -- EmoChildRu: Emotional Child Russian Speech Corpus -- 1 Introduction -- 2 Emotional Child Russian Speech Corpus - EmoChildRu -- 2.1 Data Collection -- 2.2 Corpus and Software Structure -- 3 Data Analysis -- 4 Experimental Results -- 4.1 Human Recognition of Emotional States -- 4.2 Automatic Classification of Emotional States -- 5 Discussion -- 6 Conclusions -- References -- Cognitive Mechanism of Semantic Content Decoding of Spoken Discourse in Noise -- 1 Introduction -- 2 Method and Experiment -- 3 Discussion -- 3.1 MRA Text Assessment Method -- 4 Conclusion -- References -- Combining Prosodic and Lexical Classifiers for Two-Pass Punctuation Detection in a Russian ASR System -- 1 Introduction -- 2 System Overview -- 2.1 The Lexical Classifier -- 2.2 The Prosodic Classifier -- 2.3 The Combined Model -- 2.4 Second Pass for Question Mark Detection -- 3 Experimental Setup -- 3.1 The Datasets -- 3.2 ASR Setup -- 4 Results and Discussion -- 5 Conclusions and Future Research -- References -- Construction of a Modern Greek Grammar Checker Through Mnemosyne Formalism -- 1 Introduction -- 2 Particularities of Modern Greek Language -- 3 Lexical Ambiguity in Modern Greek -- 4 Features of the Grammar Checker -- 5 Implementation of Software -- 6 ``Kanon'' Formalism -- 7 Evaluation -- References -- Contribution to the Design of an Expressive Speech Synthesis System for the Arabic Language -- 1 Introduction -- 2 System Description -- 2.1 Orthographic-to-Phonetic Transcription -- 2.2 Diphone Database -- 2.3 Diphone Concatenation -- 2.4 Voice Transformation -- 3 Experiments and Results -- 4 Conclusion and Future Works. References -- Deep Neural Network Based Continuous Speech Recognition for Serbian Using the Kaldi Toolkit -- 1 Introduction -- 2 GMM-HMM Recipe -- 3 DNN Recipe -- 4 Data Preparation -- 5 Experimental Results -- 6 Conclusion -- References -- DNN-Based Speech Synthesis: Importance of Input Features and Training Data -- 1 Introduction -- 2 Framework -- 2.1 Database and Input/Output Features -- 2.2 DNN Setup -- 2.3 HMM Setup -- 2.4 Synthesis -- 3 Results -- 3.1 Objective Evaluation -- 3.2 Subjective Evaluation -- 4 Conclusions -- References -- Emotion State Manifestation in Voice Features: Chimpanzees, Human Infants, Children, Adults -- 1 Introduction -- 2 Method -- 3 Results -- 3.1 Experiment 1 -- 3.2 Experiment 2 -- 3.3 Experiment 3 -- 4 Conclusion and Discussion -- References -- Estimation of Vowel Spectra Near Vocal Chords with Restoration of a Clipped Speech Signal -- 1 Problem Statement -- 2 Output Signals -- 3 Input Signals -- 4 Transfer Function of the Vocal Tract -- 5 Perception Tests -- 6 Algorithm for Restoration of Clipped Signals -- 7 Conclusion -- References -- Fast Algorithm for Precise Estimation of Fundamental Frequency on Short Time Intervals -- 1 Problem Statement -- 2 Model and Cost Function -- 3 Minimum of the Cost Function -- 4 The Basic Algebraic Transformations -- 5 Unbiased Criterion -- 6 Example -- 7 Evaluation of the Algorithm -- 8 Conclusion -- References -- Gender Classification of Web Authors Using Feature Selection and Language Models -- 1 Introduction -- 2 Proposed Gender Identification Methodology -- 2.1 Feature Extraction -- 2.2 Feature Selection -- 2.3 Classification -- 3 Experimental Setup and Evaluation -- 4 Conclusion -- References -- Improving Acoustic Models for Russian Spontaneous Speech Recognition -- 1 Introduction -- 2 Applying the SWB Recipe to Russian Data -- 3 Lowering Sensitivity to Acoustic Variability. 4 Speaker-Dependent Bottleneck Features. |
| Record Nr. | UNISA-996466464003316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Speech and Computer : 17th International Conference, SPECOM 2015, Athens, Greece, September 20-24, 2015, Proceedings / / edited by Andrey Ronzhin, Rodmonga Potapova, Nikos Fakotakis
| Speech and Computer : 17th International Conference, SPECOM 2015, Athens, Greece, September 20-24, 2015, Proceedings / / edited by Andrey Ronzhin, Rodmonga Potapova, Nikos Fakotakis |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVI, 506 p. 135 illus.) |
| Disciplina | 006.35 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Application software Pattern recognition Information storage and retrieval Optical data processing Database management Artificial Intelligence Information Systems Applications (incl. Internet) Pattern Recognition Information Storage and Retrieval Image Processing and Computer Vision Database Management |
| ISBN | 3-319-23132-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- About Athens -- Contents -- Invited Talks -- Multimodal Human-Robot Interaction from the Perspective of a Speech Scientist -- 1 Introduction -- 2 Major Differences Between HCI and HRI -- 3 Different Types of Robots and Resulting Implications for Interaction Schemes -- 4 Basic Interaction Schemes in Human-Robot-Communication -- 5 Conclusions -- References -- A Decade of Discriminative Language Modeling for Automatic Speech Recognition -- 1 Introduction -- 2 Features -- 2.1 Linguistic Features -- 2.2 Statistically Derived Features -- 2.3 Acoustic Features -- 3 Algorithms -- 4 Training Approaches -- 4.1 Supervised Training -- 4.2 Semi-supervised Training -- 4.3 Unsupervised Training -- 4.4 Summary of Experiments on Training Approaches -- 5 Conclusion -- References -- Conference Papers -- A Bilingual Kazakh-Russian System for Automatic Speech Recognition and Synthesis -- 1 Introduction -- 2 The Kazakh Language -- 3 Speech Synthesis and Transcription for Kazakh -- 3.1 Dictionary and POS Tagging -- 3.2 Building Transcription Rules and Synthesizing Speech -- 4 Automatic Speech Recognition for Kazakh -- 4.1 The Speech Database -- 4.2 Acoustic Models -- 4.3 Experiments -- 5 Conclusions and Future Work -- References -- A Comparative Study of Speech Processing in Microphone Arrays with Multichannel Alignment and Zelinski Post-Filtering -- 1 Introduction -- 2 Experiments and Results -- 2.1 MA Directivity Patterns -- 2.2 Incoherent and Coherent Noise Reduction Level -- 2.3 Spectrograms of the Processed Speech Signal -- 2.4 Signal-to-Deviation Ratio -- 3 Conclusions -- References -- A Comparison of RNN LM and FLM for Russian Speech Recognition -- 1 Introduction -- 2 Related Works -- 3 Recurrent Neural Network Language Model Topology -- 4 Creation of Language Models for Russian ASR.
4.1 Creation of the Baseline Language Models -- 4.2 Creation of Recurrent Neural Network Language Models -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Experiments on Rescoring N-Best Lists Using FLM -- 5.3 Experiments on Rescoring N-Best Lists Using RNN LM -- 6 Conclusion -- References -- A Frequency Domain Adaptive Decorrelating Algorithm for Speech Enhancement -- 1 Introduction -- 2 Mixing Model -- 3 Proposed Frequency Domain (FD-SAD) Algorithm -- 4 Simulations, Results, and Analysis -- 4.1 System Mismatch (SM) Evaluation -- 4.2 Segmental SNR (SegSNR) Evaluation -- 5 Conclusion -- References -- Acoustic Markers of Emotional State ``Aggression'' -- 1 Introduction -- 2 Method and Procedure -- 3 Conclusion -- 3.1 Prospects of Investigation -- References -- Algorithms for Low Bit-Rate Coding with Adaptation to Statistical Characteristics of Speech Signal -- 1 Introduction -- 2 Related Works -- 2.1 Structural Scheme of the Hybrid MELP/CELP Coder -- 2.2 Experimental Study of the Developed Adaptive Hybrid MELP/CELP Coder -- 3 Conclusion -- References -- Analysing Human-Human Negotiations with the Aim to Develop a Dialogue System -- 1 Introduction -- 2 Empirical Material and Used Software -- 3 Analysis of Human-Human Dialogues: Argument-Based Negotiation -- 3.1 Arguments and Negotiation in Telemarketing Calls -- 3.2 Negotiation in Travel Dialogues -- 3.3 Arguments and Negotiation in Everyday Dialogues -- 4 Discussion -- 5 Conclusion -- References -- Analysis of Facial Motion Capture Data for Visual Speech Synthesis -- 1 Introduction -- 2 Speech Data and Collection -- 3 Methods -- 3.1 Interpretation of Speech Data by Animation Model -- 3.2 Approximation of Speech Data -- 4 Evaluation -- 4.1 Objective Evaluation -- 4.2 Verification by Animation Model -- 5 Conclusions -- References -- Auditory-Perceptual Recognition of the Emotional State of Aggression. 1 Introduction -- 2 Method, Procedure, and Results -- 3 Conclusions -- 4 Discussion -- 5 Prospects of Investigation -- References -- Automatic Classification and Prediction of Attitudes: Audio - Visual Analysis of Video Blogs -- 1 Introduction -- 2 Methodology -- 2.1 The Vlog Corpus -- 2.2 Attitude Annotation -- 2.3 Multimodal Feature Extraction -- 3 Attitude Classification Model -- 3.1 Feature Analysis -- 3.2 Prediction by Prosodic and Visual Features -- 4 Discussion -- 5 Conclusion -- References -- Automatic Close Captioning for Live Hungarian Television Broadcast Speech: A Fast and Resource-Efficient Approach -- 1 Introduction -- 2 Related Work -- 3 System Description -- 3.1 Training Data -- 3.2 Language Modeling -- 3.3 Acoustic Models -- 3.4 Test Data and Decoding -- 4 Results -- 4.1 Broadcast Conversation -- 4.2 Decoding with Advanced Language Models -- 5 Conclusions and Future Work -- References -- Automatic Estimation of Web Bloggers' Age Using Regression Models -- 1 Introduction -- 2 Background Work -- 3 Proposed Age Estimation of Web Bloggers Using Regression Models -- 4 Experimental Setup and Results -- 5 Conclusion -- References -- Automatic Preprocessing Technique for Detection of Corrupted Speech Signal Fragments for the Purpose of Speaker Recognition -- 1 Introduction -- 2 Preprocessing Technique -- 3 Preprocessing Technique -- 3.1 Click Detector -- 3.2 Overloading Detector -- 3.3 Clipping Detector -- 3.4 Tones Detector -- 3.5 Music Detector -- 3.6 Voice Activity Detector -- 4 Experimental and Results -- 5 Conclusions -- References -- Automatic Sound Recognition of Urban Environment Events -- 1 Introduction -- 2 System Description -- 3 Experimental Setup -- 3.1 Audio Data Description -- 3.2 Feature Extraction -- 3.3 Classification -- 4 Experimental Results -- 5 Conclusions -- References. Automatically Trained TTS for Effective Attacks to Anti-spoofing System -- 1 Introduction -- 2 Anti-spoofing System -- 3 Spoofing Attack Modelling -- 4 Experiments -- 4.1 TTS Training Database -- 4.2 Evaluation Results -- 5 Conclusion -- References -- EmoChildRu: Emotional Child Russian Speech Corpus -- 1 Introduction -- 2 Emotional Child Russian Speech Corpus - EmoChildRu -- 2.1 Data Collection -- 2.2 Corpus and Software Structure -- 3 Data Analysis -- 4 Experimental Results -- 4.1 Human Recognition of Emotional States -- 4.2 Automatic Classification of Emotional States -- 5 Discussion -- 6 Conclusions -- References -- Cognitive Mechanism of Semantic Content Decoding of Spoken Discourse in Noise -- 1 Introduction -- 2 Method and Experiment -- 3 Discussion -- 3.1 MRA Text Assessment Method -- 4 Conclusion -- References -- Combining Prosodic and Lexical Classifiers for Two-Pass Punctuation Detection in a Russian ASR System -- 1 Introduction -- 2 System Overview -- 2.1 The Lexical Classifier -- 2.2 The Prosodic Classifier -- 2.3 The Combined Model -- 2.4 Second Pass for Question Mark Detection -- 3 Experimental Setup -- 3.1 The Datasets -- 3.2 ASR Setup -- 4 Results and Discussion -- 5 Conclusions and Future Research -- References -- Construction of a Modern Greek Grammar Checker Through Mnemosyne Formalism -- 1 Introduction -- 2 Particularities of Modern Greek Language -- 3 Lexical Ambiguity in Modern Greek -- 4 Features of the Grammar Checker -- 5 Implementation of Software -- 6 ``Kanon'' Formalism -- 7 Evaluation -- References -- Contribution to the Design of an Expressive Speech Synthesis System for the Arabic Language -- 1 Introduction -- 2 System Description -- 2.1 Orthographic-to-Phonetic Transcription -- 2.2 Diphone Database -- 2.3 Diphone Concatenation -- 2.4 Voice Transformation -- 3 Experiments and Results -- 4 Conclusion and Future Works. References -- Deep Neural Network Based Continuous Speech Recognition for Serbian Using the Kaldi Toolkit -- 1 Introduction -- 2 GMM-HMM Recipe -- 3 DNN Recipe -- 4 Data Preparation -- 5 Experimental Results -- 6 Conclusion -- References -- DNN-Based Speech Synthesis: Importance of Input Features and Training Data -- 1 Introduction -- 2 Framework -- 2.1 Database and Input/Output Features -- 2.2 DNN Setup -- 2.3 HMM Setup -- 2.4 Synthesis -- 3 Results -- 3.1 Objective Evaluation -- 3.2 Subjective Evaluation -- 4 Conclusions -- References -- Emotion State Manifestation in Voice Features: Chimpanzees, Human Infants, Children, Adults -- 1 Introduction -- 2 Method -- 3 Results -- 3.1 Experiment 1 -- 3.2 Experiment 2 -- 3.3 Experiment 3 -- 4 Conclusion and Discussion -- References -- Estimation of Vowel Spectra Near Vocal Chords with Restoration of a Clipped Speech Signal -- 1 Problem Statement -- 2 Output Signals -- 3 Input Signals -- 4 Transfer Function of the Vocal Tract -- 5 Perception Tests -- 6 Algorithm for Restoration of Clipped Signals -- 7 Conclusion -- References -- Fast Algorithm for Precise Estimation of Fundamental Frequency on Short Time Intervals -- 1 Problem Statement -- 2 Model and Cost Function -- 3 Minimum of the Cost Function -- 4 The Basic Algebraic Transformations -- 5 Unbiased Criterion -- 6 Example -- 7 Evaluation of the Algorithm -- 8 Conclusion -- References -- Gender Classification of Web Authors Using Feature Selection and Language Models -- 1 Introduction -- 2 Proposed Gender Identification Methodology -- 2.1 Feature Extraction -- 2.2 Feature Selection -- 2.3 Classification -- 3 Experimental Setup and Evaluation -- 4 Conclusion -- References -- Improving Acoustic Models for Russian Spontaneous Speech Recognition -- 1 Introduction -- 2 Applying the SWB Recipe to Russian Data -- 3 Lowering Sensitivity to Acoustic Variability. 4 Speaker-Dependent Bottleneck Features. |
| Record Nr. | UNINA-9910485021203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
STAIRS 2008 [[electronic resource] ] : proceedings of the fourth Starting AI Researchers' Symposium / / edited by Amedeo Cesta and Nikos Fakotakis
| STAIRS 2008 [[electronic resource] ] : proceedings of the fourth Starting AI Researchers' Symposium / / edited by Amedeo Cesta and Nikos Fakotakis |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, D.C., : IOS Press, 2008 |
| Descrizione fisica | 1 online resource (224 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
CestaAmedeo
FakotakisNikos |
| Collana | Frontiers in artificial intelligence and applications |
| Soggetto topico |
Artificial intelligence
Intelligent control systems |
| Soggetto genere / forma | Electronic books. |
| ISBN |
6611786414
1-281-78641-1 9786611786410 1-4356-7821-4 600-00-0659-4 1-60750-357-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title page; Preface; Contents; Representing Case Variations for Learning General and Specific Adaptation Rules; A Theorem Prover with Dependent Types for Reasoning About Actions; Multi-Agent Collaboration: A Satellite Constellation Case; Probabilistic Association Rules for Item-Based Recommender Systems; Role Assertion Analysis: A Proposed Method for Ontology Refinement Through Assertion Learning; Semantics for Containment Belief Revision in the Case of Consistent Complete Theories; Learning Process Behavior with EDY: An Experimental Analysis
Integrating Individual and Social Intelligence into Module-Based Agents Without Central CoordinatorQualitative Modelling to Prospect Expert's Reasoning; Improving Batch Reinforcement Learning Performance Through Transfer of Samples; Unsupervised Web-Based Automatic Annotation; Building Learning Designs by Using an Automatic Planning Domain Generation: A State-Based Approach; Managing Risk in Recurrent Auctions for Robust Resource Allocation; Another Point of View on Diagnosability; Learning from Data Streams: Synopsis and Change Detection Domain-Dependent View of Multiple Robots Path PlanningTowards Social Dynamic Dependence Networks for Institutions; Distributed and Incremental Clustering Based on Weighted Affinity Propagation; Subject Index; Author Index |
| Record Nr. | UNINA-9910453899803321 |
| Amsterdam ; ; Washington, D.C., : IOS Press, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
STAIRS 2008 [[electronic resource] ] : proceedings of the fourth Starting AI Researchers' Symposium / / edited by Amedeo Cesta and Nikos Fakotakis
| STAIRS 2008 [[electronic resource] ] : proceedings of the fourth Starting AI Researchers' Symposium / / edited by Amedeo Cesta and Nikos Fakotakis |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, D.C., : IOS Press, 2008 |
| Descrizione fisica | 1 online resource (224 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
CestaAmedeo
FakotakisNikos |
| Collana | Frontiers in artificial intelligence and applications |
| Soggetto topico |
Artificial intelligence
Intelligent control systems |
| Soggetto non controllato | STAIRS |
| ISBN |
6611786414
1-281-78641-1 9786611786410 1-4356-7821-4 600-00-0659-4 1-60750-357-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title page; Preface; Contents; Representing Case Variations for Learning General and Specific Adaptation Rules; A Theorem Prover with Dependent Types for Reasoning About Actions; Multi-Agent Collaboration: A Satellite Constellation Case; Probabilistic Association Rules for Item-Based Recommender Systems; Role Assertion Analysis: A Proposed Method for Ontology Refinement Through Assertion Learning; Semantics for Containment Belief Revision in the Case of Consistent Complete Theories; Learning Process Behavior with EDY: An Experimental Analysis
Integrating Individual and Social Intelligence into Module-Based Agents Without Central CoordinatorQualitative Modelling to Prospect Expert's Reasoning; Improving Batch Reinforcement Learning Performance Through Transfer of Samples; Unsupervised Web-Based Automatic Annotation; Building Learning Designs by Using an Automatic Planning Domain Generation: A State-Based Approach; Managing Risk in Recurrent Auctions for Robust Resource Allocation; Another Point of View on Diagnosability; Learning from Data Streams: Synopsis and Change Detection Domain-Dependent View of Multiple Robots Path PlanningTowards Social Dynamic Dependence Networks for Institutions; Distributed and Incremental Clustering Based on Weighted Affinity Propagation; Subject Index; Author Index |
| Record Nr. | UNINA-9910782216403321 |
| Amsterdam ; ; Washington, D.C., : IOS Press, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
STAIRS 2008 : proceedings of the fourth Starting AI Researchers' Symposium / / edited by Amedeo Cesta and Nikos Fakotakis
| STAIRS 2008 : proceedings of the fourth Starting AI Researchers' Symposium / / edited by Amedeo Cesta and Nikos Fakotakis |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Washington, D.C., : IOS Press, 2008 |
| Descrizione fisica | 1 online resource (224 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
CestaAmedeo
FakotakisNikos |
| Collana | Frontiers in artificial intelligence and applications |
| Soggetto topico |
Artificial intelligence
Intelligent control systems |
| ISBN |
6611786414
1-281-78641-1 9786611786410 1-4356-7821-4 600-00-0659-4 1-60750-357-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Title page; Preface; Contents; Representing Case Variations for Learning General and Specific Adaptation Rules; A Theorem Prover with Dependent Types for Reasoning About Actions; Multi-Agent Collaboration: A Satellite Constellation Case; Probabilistic Association Rules for Item-Based Recommender Systems; Role Assertion Analysis: A Proposed Method for Ontology Refinement Through Assertion Learning; Semantics for Containment Belief Revision in the Case of Consistent Complete Theories; Learning Process Behavior with EDY: An Experimental Analysis
Integrating Individual and Social Intelligence into Module-Based Agents Without Central CoordinatorQualitative Modelling to Prospect Expert's Reasoning; Improving Batch Reinforcement Learning Performance Through Transfer of Samples; Unsupervised Web-Based Automatic Annotation; Building Learning Designs by Using an Automatic Planning Domain Generation: A State-Based Approach; Managing Risk in Recurrent Auctions for Robust Resource Allocation; Another Point of View on Diagnosability; Learning from Data Streams: Synopsis and Change Detection Domain-Dependent View of Multiple Robots Path PlanningTowards Social Dynamic Dependence Networks for Institutions; Distributed and Incremental Clustering Based on Weighted Affinity Propagation; Subject Index; Author Index |
| Record Nr. | UNINA-9910817605103321 |
| Amsterdam ; ; Washington, D.C., : IOS Press, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||