Advances in neural networks : ISNN 2010 : 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010 : proceedings. Part II / / Liqing Zhang, Bao-Liang Lu and James Kwok (eds.) |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, : Springer-Verlag, 2010 |
Descrizione fisica | 1 online resource (XXX, 641 p. 247 illus.) |
Disciplina | 004.0151 |
Altri autori (Persone) |
ZhangLiqing
LuBao-Liang KwokChee Khan |
Collana |
Lecture notes in computer science
LNCS sublibrary. SL 1, Theoretical computer science and general issues |
Soggetto topico | Neural networks (Computer science) |
ISBN |
1-280-38679-7
9786613564719 3-642-13318-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | SVM and kernel methods -- Vision and image -- Data mining and text analysis -- BCI and brain imaging -- Applications. |
Record Nr. | UNINA-9910483961003321 |
Berlin, : Springer-Verlag, 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in neural networks : ISNN 2010 : 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010 : proceedings. Part I / / Liqing Zhang, Bao-Liang Lu, James Kwok, (eds.) |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, : Springer, 2010 |
Descrizione fisica | 1 online resource (XXIX, 757 p. 185 illus.) |
Disciplina | 004.0151 |
Altri autori (Persone) |
ZhangLiqing
LuBao-Liang KwokChee Khan |
Collana |
Lecture notes in computer science
LNCS sublibrary. SL 1, Theoretical computer science and general issues |
Soggetto topico |
Neural computers
Neural networks (Computer science) |
ISBN |
1-280-38676-2
9786613564689 3-642-13278-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Neurophysiological Foundation -- Theory and Models -- Learning and Inference -- Neurodynamics. |
Record Nr. | UNINA-9910483676203321 |
Berlin, : Springer, 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Neural Networks -- ISNN 2010 [[electronic resource] ] : 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part I / / edited by James Kwok, Bao-Liang Lu, Liqing Zhang, Bao-Liang Lu |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
Descrizione fisica | 1 online resource (XXIX, 757 p. 185 illus.) |
Disciplina | 004.0151 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer science
Computer programming Data structures (Computer science) Information theory Computer vision Pattern recognition systems Artificial intelligence Theory of Computation Programming Techniques Data Structures and Information Theory Computer Vision Automated Pattern Recognition Artificial Intelligence |
ISBN |
1-280-38676-2
9786613564689 3-642-13278-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Neurophysiological Foundation -- Theory and Models -- Learning and Inference -- Neurodynamics. |
Record Nr. | UNISA-996465916803316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Advances in Neural Networks -- ISNN 2010 [[electronic resource] ] : 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II / / edited by James Kwok, Liqing Zhang, Bao-Liang Lu |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
Descrizione fisica | 1 online resource (XXX, 641 p. 247 illus.) |
Disciplina | 004.0151 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer science
Computer programming Data structures (Computer science) Information theory Computer vision Pattern recognition systems Artificial intelligence Theory of Computation Programming Techniques Data Structures and Information Theory Computer Vision Automated Pattern Recognition Artificial Intelligence |
ISBN |
1-280-38679-7
9786613564719 3-642-13318-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | SVM and Kernel Methods -- Vision and Image -- Data Mining and Text Analysis -- BCI and Brain Imaging -- Applications. |
Record Nr. | UNISA-996465914903316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Neural Information Processing [[electronic resource] ] : 18th International Conference, ICONIP 2011, Shanghai,China, November 13-17, 2011, Proceedings, Part III / / edited by Bao-Liang Lu, Liqing Zhang, James Kwok |
Edizione | [1st ed. 2011.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
Descrizione fisica | 1 online resource (XXII, 790 p.) |
Disciplina | 006.32 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Data mining Computer simulation Computer vision Theory of Computation Artificial Intelligence Automated Pattern Recognition Data Mining and Knowledge Discovery Computer Modelling Computer Vision |
ISBN | 3-642-24965-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Title -- Preface -- ICONIP 2011 Organization -- Table of Contents -- Multi-agent Systems -- Multimodal Identity Verification Based on Learning Face and Gait Cues -- Introduction -- Background -- Multimodal Identification Scheme -- Experimental Results and Discussion -- Recognition Performance with PCA-Features -- Recognition Accuracies with PCA-LDA Features -- Conclusions and Further Scope -- References -- Robust Control of Nonlinear System Using Difference Signals and Multiple Competitive Associative Nets -- Introduction -- Control Method Using Difference Signals and Multiple CAN2s -- Plant Model Using Difference Signals -- CAN2 Using Difference Signals and Relation to Parameter Change -- GPC for Difference Signals -- Iterations of Control and Learning -- Switching Multiple CAN2s to Cope with Parameter Change -- Numerical Experiments of Crane System -- Overhead Traveling Crane System -- Parameter Settings -- Results and Remarks -- Conclusion -- References -- Selective Track Fusion -- Introduction -- System Description -- Outlier Elimination -- Heuristics Function Construction -- Selective Track Fusion -- The Basic Idea of STF -- Track State Estimation Fusion -- Experimental Results and Analysis -- Conclusion -- References -- The Bystander Effect: Agent-Based Simulation of People's Reaction to Norm Violation -- Introduction -- Bystander Effect -- Related Work -- Social Psychology -- Agent-Based Simulation -- Modelling Approach -- Simulation Model -- Case Studies -- Description -- Example Simulation Traces -- Discussion -- References -- Multi Agent Carbon Trading Incorporating Human Traits and Game Theory -- Introduction -- The Proposed Model -- Coding Trader Traits in Computer Agents -- The Two Stage Trading Algorithm -- Experiment Setup -- Results and Discussions -- Conclusions and Future Work -- References.
Fast and Incremental Neural Associative Memory Based Approach for Adaptive Open-Loop Structural Control in High-Rise Buildings -- Introduction -- Problem Definition and Related Works -- Proposed Approach -- Feature Representation -- Online Incremental Neural Associative Memory [12] -- Experiments and Results -- Conclusion -- References -- Emergence of Leadership in Evolving Robot Colony -- Introduction -- Related Works -- Modeling Evolutionary Robot Colony -- Overview -- Social Position -- Behavior Control and Evolution -- Experimental Design -- Assignments Design -- Settings -- Results and Analysis -- Conclusion and Future Works -- References -- Emergence of Purposive and Grounded Communication through Reinforcement Learning -- Introduction -- Reinforcement Learning with a Neural Network -- Learning of Purposive and Grounded Communication -- System Architecture and Robot Control Task -- Effect of Preparation Learning -- Correlation between Communication Signals and Motions -- Experiment -- Conclusion -- References -- An Action Selection Method Based on Estimation of Other's Intention in Time-Varying Multi-agent Environments -- Introduction -- Reinforcement Learning -- Intention Estimation Levels and Their Application to Reinforcement Learning -- Intention Estimation Levels -- Application to Reinforcement Learning -- Computer Simulation -- Problem Setting -- Simulation Setting -- Simulation Results -- Summary -- References -- Describing Human Identity Using Attributes -- Introduction -- Our Approach -- Target Human Modeling and Body Attribute Learning -- Appearance Attribute Model -- Attribute-Loss -- Experiment -- Data Set -- Implementation Details and Results -- Conclusion -- References -- Visual Information of Endpoint Position Is Not Required for Prism Adaptation of Shooting Task -- Introduction -- Experiment 1 -- Apparatus -- Method. Conditions -- Result and Discussion -- Experiment 2 -- Method -- Conditions -- Result and Discussion -- Concluding Remark -- References -- Q-Learning with Double Progressive Widening: Application to Robotics -- Introduction -- Progressive Widening Q-Learning -- Q-Learning Approach -- Applying Double Progressive Widening to Q-Learning -- Experiments -- Treasure Hunt Problem -- Robot Navigation in a 3D Partially Observable Environment -- Conclusion -- References -- Natural Language Processing and Intelligent Web Information Processing -- User Identification for Instant Messages -- Introduction -- Related Work -- Verification Problem -- Features -- User Identification for IM Messages -- Feature Selection and Extraction -- Model Generation -- Experiment Result -- Conclusion -- References -- Using Hybrid Kernel Method for Question Classification in CQA -- Introduction -- Question Classification Problem in CQA -- Category for Question Classification -- Question Multi-label Classification -- The Hybrid Kernel Method for Question Multi-label Classification -- Polynomial Kernels -- Tree Kernels -- Experiment for Question Multi-label Classification -- Data for Experiment -- Experiment for Question Multi-label Classification -- Question Paraphrase Recognition -- Conclusion -- References -- Towards Understanding Spoken Tunisian Dialect -- Introduction -- Tunisian Dialect -- Building Ontologies -- Lexical Specification -- Standardization -- Formalization -- Semantic Annotation -- Semantic Interpretation -- Results -- Conclusion -- References -- Topic Modeling of Chinese Language Using Character-Word Relations -- Introduction -- Character-Word Structure in Topic Modeling -- Generative Model -- Likelihood -- Inference -- Document Likelihood -- Collapsed Sampler -- Estimate Topics over Chinese Characters -- Experimental Studies -- Data Descriptions. Extracted Topics and Document Classification -- Conclusions -- References -- Enrichment and Reductionism: Two Approaches for Web Query Classification -- Introduction -- Related Work -- Web Query Classification Approaches -- Enrichment Approach -- Reductionist Approach -- Experiment -- Conclusion -- References -- Dynamic Template Based Online Event Detection -- Introduction -- Dynamic Template Based Event Detection -- Pre-processing of Web Document -- General Framework of DTED Algorithm -- Similarity Function -- Experimental Setup -- Datasets and Evaluation Metrics -- Experiments and Discussion -- Events Detection Results -- DTED Algorithm Discussion -- Online System for Large Scale Corpus Building -- Conclusion and Future Work -- References -- Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering -- Introduction -- Methods -- Dimensionality Reduction -- Distance Measures -- K-Means Clustering -- Experiments -- Data and Preprocessing -- Results -- Conclusions -- References -- Diversifying Question Recommendations in Community-Based Question Answering -- Introduction -- Diversification Algorithm of Question Recommendation -- Problem Definition -- Question Recommendation Procedure -- Evaluation and Discussions -- Experiment Dataset and Settings -- Experimental Results -- Conclusions -- References -- Neural Encoding and Decoding -- Classification of Multi-spike Trains and Its Application in Detecting Task Relevant Neural Cliques -- Introduction -- Multi-spike Trains Classification -- Spike Train Transformation -- Estimating Inhomogeneous Poisson Process -- Bayesian Rules for Matching Value -- Integrating Strategy -- Multi-Spike Trains Classification Results -- Detection of Task Relevant Neural Cliques -- Discussion -- References. Dreaming Your Fear Away: A Computational Model for Fear Extinction Learning during Dreaming -- Introduction -- A Computational Model for Fear Extinction Learning -- Simulations of Fear Extinction Learning in Dream Scenarios -- Discussion -- References -- Simple Models for Synaptic Information Integration -- Introduction -- A Neuron Model with Soma and a Dendrite -- A Simplified Current-Based Model -- Extension to Multiple Dendrites -- Conclusions -- References -- On Rationality of Decision Models Incorporating Emotion-Related Valuing and Hebbian Learning -- Introduction -- The Adaptive Decision Models Addressed -- Simulation Results -- Evaluating Agent Models on Rationality -- Discussion -- References -- Evolving Probabilistic Spiking Neural Networks for Spatio-temporal Pattern Recognition: A Preliminary Study on Moving Object Recognition -- Introduction -- The Proposed epSNNr Architecture -- Probabilistic Neuronal Models in the epSNNr as Extensions of the LIF Model -- Preliminary Experiments on Moving Object Recognition in the epSNNr -- Goals of the Experimental Study -- Synthetic Video Dataset -- Design of the Experiment -- Experimental Results -- Conclusion and Future Works -- References -- Nonlinear Effect on Phase Response Curve of Neuron Model -- Introduction -- Formulation -- Spike Response Model -- Analytical Derivation of PRC Using SRM -- Verification Using Conductance-Based Model -- Derivation of PRC of SRM -- Comparison of Derived Theory Using Conductance-Based Models -- Dependence of PRC on Amplitude of Perturbation Stimuli -- Concluding Remarks -- References -- Modulations of Electric Organ Discharge and Representation of the Modulations on Electroreceptors -- Introduction -- Methods -- Simulation Setup -- Model for Calculating EOD Modulation Induced by an Object -- Model of the Electrosensory Receptor Network -- Results. EOD Modulations. |
Record Nr. | UNISA-996465946703316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Neural Information Processing [[electronic resource] ] : 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part I / / edited by Bao-Liang Lu, Liqing Zhang, James Kwok |
Edizione | [1st ed. 2011.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
Descrizione fisica | 1 online resource (XXXVIII, 752 p.) |
Disciplina | 006.32 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Data mining Computer simulation Computer vision Theory of Computation Artificial Intelligence Automated Pattern Recognition Data Mining and Knowledge Discovery Computer Modelling Computer Vision |
ISBN | 3-642-24955-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996465949803316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Neural Information Processing [[electronic resource] ] : 18th International Conference, ICONIP 2ß11, Shanghai, China, November 13-17, 2011, Proceedings, Part II / / edited by Bao-Liang Lu, Liqing Zhang, James Kwok |
Edizione | [1st ed. 2011.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
Descrizione fisica | 1 online resource (XXII, 778 p.) |
Disciplina | 006.32 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer science
Artificial intelligence Pattern recognition systems Data mining Computer simulation Computer vision Theory of Computation Artificial Intelligence Automated Pattern Recognition Data Mining and Knowledge Discovery Computer Modelling Computer Vision |
ISBN | 3-642-24958-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Title -- Preface -- ICONIP 2011 Organization -- Table of Contents -- Cybersecurity and Data Mining Workshop -- Agent Personalized Call Center Traffic Prediction and Call Distribution -- Introduction -- Call Center Management -- Review of Call-Center IT Solutions -- Existing Call Prediction Methods -- Proposed Call Prediction Method -- Experiments and Discussion -- Conclusions -- References -- Mapping from Student Domain into Website Category -- Introduction -- The Data -- The Concepts -- The Matching -- Discussion and Future Work -- References -- Entropy Based Discriminators for P2P Teletraffic Characterization -- Introduction -- Related Work on P2P Network Characterization -- Network Level Tracing -- Application Level Tracing -- Hybrid Virtualization Based Approach -- Data Analysis -- Host-Level Analysis -- Discriminators -- Learning Methodology -- Experiments -- Experiment Settings -- Analysis on Time Window Size -- Analysis on Sampling Rate -- Conclusion -- References -- Faster Log Analysis and Integration of Security Incidents Using Knuth-Bendix Completion -- Introduction -- Mechanized Reasoning -- Resolution -- Set of Support Strategy -- Hyperresolution -- Subsumption -- Knuth-Bendix Completion -- Experiment I -- Internet Explorer Aurora Attack: MS979352 -- FTP Server Attack -- Results -- Experiment II -- Malware Log Analysis -- Results of Integration -- Discussion -- Conclusion -- References -- Fast Protocol Recognition by Network Packet Inspection -- Introduction -- Background and Relate Work -- Motivation -- Proposed Method -- Evaluation Result -- Conclusion -- References -- Network Flow Classification Based on the Rhythm of Packets -- Introduction -- Motivation and Related Work -- Packet-Level Feature and Bayesian Networks -- Network Flow Rhythm -- Attributions Selection and Attributions Correlation.
Bayesian Networks Parameters Estimation -- Our Bayesian Network Structure -- Experiment Setup -- Data Set -- Data Pre-processing -- Result and Analysis -- Conclusion -- References -- Data Mining and Knowledge Discovery -- Energy-Based Feature Selection and Its Ensemble Version -- Introduction -- Energy-Based Framework for Feature Ranking -- Energy-Based Learning -- Framework for Feature Ranking -- Feature Ranking Algorithm -- Evaluation Function -- Algorithm Analysis -- Ensemble Feature Selection -- Components of Ensemble Feature Selection -- Stability Estimation -- Experiments -- Experimental Results for Single Feature Selection -- Experimental Results for Ensemble Feature Selection -- Conclusions -- References -- The Rough Set-Based Algorithm for Two Steps -- Introduction -- Literature Review and Problem Statement -- Rough Set-Based Algorithm for Two-Step -- Illustrative Example -- Conclusion -- References -- An Infinite Mixture of Inverted Dirichlet Distributions -- Introduction -- The Infinite Model -- The Finite Inverted Dirichlet Mixture Model -- The Infinite Inverted Dirichlet Mixture Model -- Priors and Conditional Posteriors -- Experimental Results -- Conclusion -- References -- Multi-Label Weighted k-Nearest Neighbor Classifier with Adaptive Weight Estimation -- Introduction -- A Novel Multi-Label Weighted k-Nearest Neighbor Algorithm -- Traditional Multi-class Weighted kNN Method -- Multi-Label Weighted kNN Method Based on Bayesian Theorem -- Adaptive Weight Estimation Method -- Experiments -- Five Evaluation Measures and Two Data Sets -- Tuning k Value for Four kNN-Based Classifiers -- Comparison Study on Two Test Data Sets -- Conclusions -- References -- Emotiono: An Ontology with Rule-Based Reasoning for Emotion Recognition -- Introduction -- 'Emotiono' Ontology Construction -- Affective Model Applied in the 'Emotiono' Ontology. The Structure of the 'Emotiono' Ontology -- Data Processing Method -- Data Collection -- Data Preprocessing and EEG Features -- Rule-Based Reasoning -- The Reason of Generating Rules by C4.5 -- Emotion Recognition Rules -- Reasoning Results -- Conclusions and Future Work -- References -- Parallel Rough Set: Dimensionality Reduction and Feature Discovery of Multi-dimensional Data in Visualization -- Introduction -- Rough Set Theory Background -- Classic Rough Set -- Variable Precision Rough Set -- Parallel Rough Set System -- Dimensionality Reduction via VPRS -- Feature Discovery via Rule Induction -- Dimension Reorder to Enhance Visual Structure -- Case Studies Using PRS -- Comparison with Dimensionality Reduction Techniques -- Conclusion -- References -- Feature Extraction via Balanced Average Neighborhood Margin Maximization -- Introduction -- Average Neighborhood Margin Maximization -- Balanced Average Neighborhood Margin Maximization -- Side Information -- BANMM -- Experimental Results -- Conclusion -- References -- The Relationship between the Newborn Rats' Hypoxic-Ischemic Brain Damage and Heart Beat Interval Information -- Background -- Experiments -- Data Collection -- Data Analyzing -- Multiple Linear Regression Analysis -- Successive Multiple Linear Regression Analysis -- Results -- Conclusions -- References -- A Robust Approach for Multivariate Binary Vectors Clustering and Feature Selection -- Introduction -- A Model for Simultaneous Clustering, Feature Selection and Outliers Rejection -- The Model -- Model Learning -- Experimental Results -- Handwritten Digit Recognition -- Visual Scenes Categorization -- Conclusion -- References -- The Self-Organizing Map Tree (SOMT) for Nonlinear Data Causality Prediction -- Introduction -- Background -- Nonlinear Data Relationship Analysis Using SOM -- Nonlinear Data Prediction Analysis Using BPN. Issues of Nonlinear Data Prediction Process -- The Self-Organizing Map Tree (SOMT) -- Structure of the SOMT and the Prediction Processes -- Weight Vector Linking Method for the Prediction Processes -- Experimental Results and Discussion -- Conclusion -- References -- Document Classification on Relevance: A Study on Eye Gaze Patterns for Reading -- Introduction -- Eye Gaze for Reading -- The Experiment -- Experiment Design -- Experimental Setup -- Participants -- Analysis and Results -- Gaze Points to Fixations -- Scoring the Participants -- Statistical Analysis -- Further Analysis by ANN -- Discussion -- References -- Multi-Task Low-Rank Metric Learning Based on Common Subspace -- Introduction -- Multi-Task Low-Rank Metric Learning -- Notation and Problem Definition -- Multi-Task Framework for Low-Rank Metric Learning -- Optimization -- Special Case -- Experiments -- Illustration on Synthetic Data -- Experiment on Real Data -- Conclusion -- References -- Reservoir-Based Evolving Spiking Neural Network for Spatio-temporal Pattern Recognition -- Introduction -- Spatio-temporal Pattern Recognition with reSNN -- Reservoir -- Experiments -- Data Set -- Setup -- Results -- Parameter and Feature Optimization of reSNN -- Conclusion and Future Directions -- References -- An Adaptive Approach to Chinese Semantic Advertising -- Introduction -- Related Work -- Chinese Semantic Advertising Architecture -- Preprocessing Chinese Web Pages and Advertisements -- The Ontology -- Extracting Related Phrases for Ontology -- The Distance Function -- Evaluation -- Experiment Setup -- Experiment Results -- Conclusion and Future Work -- Reference -- A Lightweight Ontology Learning Method for Chinese Government Documents -- Introduction -- Related Work -- Ontology Learning for Chinese Government Documents -- Preprocess -- Term Extraction -- Government Rule Classification. Triple Creation -- RDF Generation -- Evaluation -- Experiment Setup -- Results -- Conclusion and Future Work -- References -- Relative Association Rules Based on Rough Set Theory -- Introduction -- Literature Review and Problem Statement -- Incorporation of Rough Set for Classification Processing -- Conclusion and Future Works -- References -- Scalable Data Clustering: A Sammon's Projection Based Technique for Merging GSOMs -- Introduction -- Background -- Self-Organizing Map -- Growing Self-Organizing Map -- Sammon's Projection -- The Parallel GSOM Algorithm -- Data Partitioning -- Parallel GSOM Training -- Merging Process -- Refining Process -- Results -- Accuracy -- Performance -- Discussion -- References -- A Generalized Subspace Projection Approach for Sparse Representation Classification -- Introduction -- Sparse Representation Classification -- Subspace Projection for Sparse Representation Classification -- Subspace of Each Class -- Maximal Linearly Independent Set of Each Class -- Experiments -- Parameters Setting -- Experimental Results -- Conclusion and Future Work -- References -- Evolutionary Design and Optimisation -- Macro Features Based Text Categorization -- Introduction -- Macro Feature Extraction -- Clustering Based Method MFCl -- Centroid Based Method MFCe -- Databases and Experimental Setting -- Databases -- Experimental Setting -- Experimental Results -- Performance Comparison of Different Methods -- Effectiveness of Labeled Data in MFCl -- Effectiveness of Labeled Data in MFCe -- Comparison of MFCl and MFCe -- Conclusion -- References -- Univariate Marginal Distribution Algorithm in Combination with Extremal Optimization (EO, GEO) -- Introduction -- Univariate Marginal Distribution Algorithm -- Extremal Optimization Algorithm -- Suggested Algorithm -- Experiments and Results -- Graph Bi-partitioning Problem. Multiprocessor Scheduling Problems. |
Record Nr. | UNISA-996465951103316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Smart and Multifunctional Concrete Toward Sustainable Infrastructures / / by Baoguo Han, Liqing Zhang, Jinping Ou |
Autore | Han Baoguo |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XXV, 400 p. 274 illus., 191 illus. in color.) |
Disciplina | 691 |
Soggetto topico |
Building materials
Ceramics Glass Composites (Materials) Composite materials Engineering—Materials Building Materials Ceramics, Glass, Composites, Natural Materials Materials Engineering |
ISBN | 981-10-4349-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Definition and classification of smart/multifunctional concrete.-Self-sensing concrete -- Self-healing concrete -- Self-adjusting concrete -- Self-damping concrete -- Self-cleaning concrete -- Electrically conductive concrete -- Electromagnetic shielding/absorbing concrete -- Energy harvesting concrete -- Light transmitting concrete -- Aircraft arresting concrete -- Other types of smart/multifunctional concrete -- Challenges for development and deployment of smart/multifunctional concrete. |
Record Nr. | UNINA-9910254319803321 |
Han Baoguo
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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