Neural Information Processing

On the Optimization of Multiclass Support Vector Machines Dedicated to Speech Recognition.- Time Series Prediction Method Based on LS-SVR with Modified Gaussian RBF.- An Improved Method of Identification Based on Thermal Palm Vein Image.- Modelling Energy Use and Fuel Consumption in Wheat Production Using Indirect Factors and Artificial Neural Networks.- A Gaussian Mixture Model Based System for Detection of Macula in Fundus Images.- The Brain's Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses.- Estimating Neural Firing Rates: An Empirical Bayes Approach.- Assessment of Financial Risk Prediction Models with Multi-criteria Decision Making Methods.- Improving Risk Predictions by Preprocessing Imbalanced Credit Data.- Hybrid Validation of Handwriting Process Modelling.- Off-Line Handwritten Arabic Word Recognition Using SVMs with Normalized Poly Kernel.- Bayesian Modeling of Visual Attention.- Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity.- Optimization of SIRMs Fuzzy Model Using Lukasiewicz Logic.- Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based Learning.- Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects.- The Elastic Net as Visual Category Representation: Visualisation and Classification.- A Computational Model for Development of Post-Traumatic Stress Disorders by Hebbian Learning.- Power-Law Scaling of Synchronization Robustly Reproduced in the Hippocampal CA3 Slice Culture Model with Small-World Topology.- A Dynamic Bio-inspired Model of Categorization.- Improving Support Vector Machine Using a Stochastic Local Search for Classification in DataMining.- Variety of Cortical Pathways Formed by Topographic Neural Projection: A Computational Study.- Identification of Neural Network Structure from Multiple Spike Sequences.- Time Domain Parameters for Online Feedback fNIRS-Based Brain-ComputerInterface Systems.- Embedding Relevance Vector Machine in Fuzzy Inference System for Energy Consumption Forecasting.- GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces.- A Regularized Linear Classifier for Effective Text Classification.- A Real-Time, Event Driven Neuromorphic System for Goal-Directed Attentional Selection.- Analog Neural Network Approach for Source Localization Using Time-of-Arrival Measurements.- Construction of Decision Trees by Using Feature Importance Value for Improved Learning Performance.- Wavelet Transform Based Consonant - Vowel (CV) Classification Using Support Vector Machines.- Using Agent Based Modeling and Simulation for Data Mining.- Neurodynamical Top-Down Processing during Auditory Attention.- A Hybrid Visualization-Induced Self-Organizing Map for Multi Dimensional Reduction and Data Visualization.- Human-Like Intuitive Playing in Board Games.- Identification of Diffusion Coefficient in Nonhomogeneous Landscapes.- Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks.- Generation of Environmental Representation of a Large Indoor Parking Lot. Survey on Simplified Olfactory Bionic Model to Generate Texture Images.- An Improved Method to Calculate Phase Locking Value Based on Hilbert-Huang Transform and Its Application.- A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification.- Multitask Twin Support Vector Machines.- Bandit-Based Structure Learning for Bayesian Network Classifiers.- Modeling the Mental Differentiation Task with EEG.- Office-Space-Allocation Problem Using Harmony Search Algorithm.- A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification.- An Orientation Detection Model Based on Fitting from Multiple Local Hypotheses.- Avoiding Catastrophic Forgetting by a Biologically Inspired Dual-Network Memory Model.- Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment.- Validation Based Sparse Gaussian Processes for Ordinal Regression.- Cross-Subject Classification of Speaking Modes Using fNIRS.- Temporal Finite-State Machines: A Novel Framework for the General Class of Dynamic Networks.- A Novel Node Splitting Criteria for Decision Trees Based on Theil Index.- Modeling of Polycaprolactone Production from Lukasiewicz Logic.- Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based Learning.- Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects.- The Elastic Net as Visual Category Representation: Visualisation and Classification.- A Computational Model for Development of Post-Traumatic Stress Disorders by Hebbian Learning.- Power-Law Scaling of Synchronization Robustly Reproduced in the Hippocampal CA3 Slice Culture Model with Small-World Topology.- A Dynamic Bio-inspired Model of Categorization.- Improving Support Vector Machine Using a Stochastic Local Search for Classification in DataMining.- Variety of Cortical Pathways Formed by Topographic Neural Projection: A Computational Study.- Identification of Neural Network Structure from Multiple Spike Sequences.- Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems.- Embedding Relevance Vector Machine in Fuzzy Inference System for Energy Consumption Forecasting.- GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces.- A Regularized Linear Classifier for Effective Text Classification.- A Real-Time, Event Driven Neuromorphic System for Goal-Directed Attentional Selection.- Analog Neural Network Approach for Source Localization Using Time-of-Arrival Measurements.- Construction of Decision Trees by Using Feature Importance Value for Improved Learning Performance.- Wavelet Transform Based Consonant - Vowel (CV) Classification Using Support Vector Machines.- Using Agent Based Modeling and Simulation for Data Mining.- Neurodynamical Top-Down Processing during Auditory Attention.- A Hybrid Visualization-Induced Self-Organizing Map for Multi Dimensional Reduction and Data Visualization.- Human-Like Intuitive Playing in Board Games.- Identification of Diffusion Coefficient in Nonhomogeneous Landscapes.- Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks.- Generation of Environmental Representation of a Large Indoor Parking Lot. Survey on Simplified Olfactory Bionic Model to Generate Texture Images.- An Improved Method to Calculate Phase Locking Value Based on Hilbert-Huang Transform and Its Application.- A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification.- Multitask Twin Support Vector Machines.- Bandit-Based Structure Learning for Bayesian Network Classifiers.- Modeling the Mental Differentiation Task with EEG.- Office-Space-Allocation Problem Using Harmony Search Algorithm.- A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification.- An Orientation Detection Model Based on Fitting from Multiple Local Hypotheses.- Avoiding Catastrophic Forgetting by a Biologically Inspired Dual-Network Memory Model.- Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment.- Validation Based Sparse Gaussian Processes for Ordinal Regression.- Cross-Subject Classification of Speaking Modes Using fNIRS.- Temporal Finite-State Machines: A Novel Framework for the General Class of Dynamic Networks.- A Novel Node Splitting Criteria for Decision Trees Based on Theil Index.- Modeling of Polycaprolactone Production from e-Caprolactone Using Neural Network.- Global Reweighting and Weight Vector Based Strategy for Multiclass Boosting.- Suppression of Functional System with Markovian Switching.- P-Order Normal Cloud Model: Walking on the Way between Gaussian and Power Law Distributions.- A Novel Method of Sparse LeastSquares Support Vector Machines in Class Empirical Feature Space.- Semantic De-biased Associations (SDA) Model to Improve Ill-Structured Decision Support.- Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction.- Delay-Dependent Stabilization of Uncertain Distributed Systems with Interval Time-Varying Delay.- GARF: Towards Self-optimised Random Forests.- TaskRec: Probabilistic Matrix Factorization in Task Recommendation in Crowdsourcing Systems.- Feature Selection for Electricity Load Prediction.- Statistical and Machine Learning Methods for Electricity Demand Prediction.- EnerPlan: Smart Energy Management Planning for Home Users.- Harnessing Chaotic Activation Functions in Training Neural Network.- Self-correcting Symmetry Detection Network.- Parallel Support Vector Configuration for Identification of Fast Independent Components in Morphological Patterns Derived by Cardiovasographic Analysis on the Radial Pulse.- Energy-Based Temporal Neural Networks for Imputing Missing Values.- Emergence of Multi-step Discrete State Transition through Reinforcement Learning with a Recurrent Neural Network.- Collaborative Generative Topographic Mapping.- Rule Extraction from Ensemble Methods Using Aggregated Decision Trees.- Classification of Power Quality Disturbances Using Artificial Neural Networks and a Logarithmically Compressed S-Transform.- Multi-Threaded Support Vector Machines for Pattern Recognition.- A Malware Collection and Analysis Framework Based on Darknet Traffic.- Markovian Models for Electrical Load Prediction in Smart Buildings.- Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments.- Multivariate Isotonic Regression under Tree Semi-order Restrictions and Test in Multivariate Normal Distribution.- Consonantal Recognition Using SVM and a Hierarchical Decision Structure Based in the Articulatory Phonetics.- SVM-Based Just-in-Time Adaptive Classifiers.- Machine Learning Approach to Enhance the Design of Automated Theorem Provers.- Orthogonalized Partial Directed Coherence for Functional Connectivity Analysis of Newborn EEG.- Classification of Working Memory Load Using Wavelet Complexity Features of EEG Signals. Lukasiewicz Logic.- Synchronization of Hopfield Like Chaotic Neural Networks with Structure Based Learning.- Incremental Self-Organizing Map (iSOM) in Categorization of Visual Objects.- The Elastic Net as Visual Category Representation: Visualisation and Classification.- A Computational Model for Development of Post-Traumatic Stress Disorders by Hebbian Learning.- Power-Law Scaling of Synchronization Robustly Reproduced in the Hippocampal CA3 Slice Culture Model with Small-World Topology.- A Dynamic Bio-inspired Model of Categorization.- Improving Support Vector Machine Using a Stochastic Local Search for Classification in DataMining.- Variety of Cortical Pathways Formed by Topographic Neural Projection: A Computational Study.- Identification of Neural Network Structure from Multiple Spike Sequences.- Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems.- Embedding Relevance Vector Machine in Fuzzy Inference System for Energy Consumption Forecasting.- GMM-ClusterForest: A Novel Indexing Approach for Multi-features Based Similarity Search in High-Dimensional Spaces.- A Regularized Linear Classifier for Effective Text Classification.- A Real-Time, Event Driven Neuromorphic System for Goal-Directed Attentional Selection.- Analog Neural Network Approach for Source Localization Using Time-of-Arrival Measurements.- Construction of Decision Trees by Using Feature Importance Value for Improved Learning Performance.- Wavelet Transform Based Consonant - Vowel (CV) Classification Using Support Vector Machines.- Using Agent Based Modeling and Simulation for Data Mining.- Neurodynamical Top-DownProcessing during Auditory Attention.- A Hybrid Visualization-Induced Self-Organizing Map for Multi Dimensional Reduction and Data Visualization.- Human-Like Intuitive Playing in Board Games.- Identification of Diffusion Coefficient in Nonhomogeneous Landscapes.- Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks.- Generation of Environmental Representation of a Large Indoor Parking Lot. Survey on Simplified Olfactory Bionic Model to Generate Texture Images.- An Improved Method to Calculate Phase Locking Value Based on Hilbert-Huang Transform and Its Application.- A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification.- Multitask Twin Support Vector Machines.- Bandit-Based Structure Learning for Bayesian Network Classifiers.- Modeling the Mental Differentiation Task with EEG.- Office-Space-Allocation Problem Using Harmony Search Algorithm.- A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification.- An Orientation Detection Model Based on Fitting from Multiple Local Hypotheses.- Avoiding Catastrophic Forgetting by a Biologically Inspired Dual-Network Memory Model.- Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment.- Validation Based Sparse Gaussian Processes for Ordinal Regression.- Cross-Subject Classification of Speaking Modes Using fNIRS.- Temporal Finite-State Machines: A Novel Framework for the General Class of Dynamic Networks.- A Novel Node Splitting Criteria for Decision Trees Based on Theil Index.- Modeling of Polycaprolactone Production from e-Caprolactone Using Neural Network.- Global Reweighting and Weight Vector Based Strategy for Multiclass Boosting.- Suppression of Functional System with Markovian Switching.- P-Order Normal Cloud Model: Walking on the Way between Gaussian and Power Law Distributions.- A Novel Method of Sparse Least Squares Support Vector Machines inClass Empirical Feature Space.- Semantic De-biased Associations (SDA) Model to Improve Ill-Structured Decision Support.- Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction.- Delay-Dependent Stabilization of Uncertain Distributed Systems with Interval Time-Varying Delay.- GARF: Towards Self-optimised Random Forests.- TaskRec: Probabilistic Matrix Factorization in Task Recommendation in Crowdsourcing Systems.- Feature Selection for Electricity Load Prediction.- Statistical and Machine Learning Methods for Electricity Demand Prediction.- EnerPlan: Smart Energy Management Planning for Home Users.- Harnessing Chaotic Activation Functions in Training Neural Network.- Self-correcting Symmetry Detection Network.- Parallel Support Vector Configuration for Identification of Fast Independent Components in Morphological Patterns Derived by Cardiovasographic Analysis on the Radial Pulse.- Energy-Based Temporal Neural Networks for Imputing Missing Values.- Emergence of Multi-step Discrete State Transition through Reinforcement Learning with a Recurrent Neural Network.- Collaborative Generative Topographic Mapping.- Rule Extraction from Ensemble Methods Using Aggregated Decision Trees.- Classification of Power Quality Disturbances Using Artificial Neural Networks and a Logarithmically Compressed S-Transform.- Multi-Threaded Support Vector Machines for Pattern Recognition.- A Malware Collection and Analysis Framework Based on Darknet Traffic.- Markovian Models for Electrical Load Prediction in Smart Buildings.- Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments.- Multivariate Isotonic Regression under Tree Semi-order Restrictions and Test in Multivariate Normal Distribution.- Consonantal Recognition Using SVM and a Hierarchical Decision Structure Based in the Articulatory Phonetics.- SVM-Based Just-in-Time Adaptive Classifiers.- Machine Learning Approach toEnhance the Design of Automated Theorem Provers.- Orthogonalized Partial Directed Coherence for Functional Connectivity Analysis of Newborn EEG.- Classification of Working Memory Load Using Wavelet Complexity Features of EEG Signals.