Librería Samer Atenea
Librería Aciertas (Toledo)
Kálamo Books
Librería Perelló (Valencia)
Librería Elías (Asturias)
Donde los libros
Librería Kolima (Madrid)
Librería Proteo (Málaga)
Neural Network Based Semantic Web, Data Mining and Knowledge Discovery.- A Novel Method for Manifold Construction.- A Non-linear Classifier for Symbolic Interval Data Based on a Region Oriented Approach.- A Symmetrical Model Applied to Interval-Valued Data Containing Outliers with Heavy-Tail Distribution.- New Neuron Model for Blind Source Separation.- Time Series Prediction with Multilayer Perceptron (MLP): A New Generalized Error Based Approach.- Local Feature Selection in Text Clustering.- Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge.- Comparison of Cluster Algorithms for the Analysis of Text Data Using Kolmogorov Complexity.- Neurocognitive Approach to Clustering of PubMed Query Results.- Search-In-Synchrony: Personalizing Web Search with Cognitive User Profile Model.- Neurocognitive Approach to Creativity in the Domain of Word-Invention.- Improving Personal Credit Scoring with HLVQ-C.- Architecture of Behavior-Based Function Approximator for Adaptive Control.- On Efficient Content Based Information Retrieval Using SVM and Higher Order Correlation Analysis.- Neural Networks Learning Paradigm.- A String Measure with Symbols Generation: String Self-Organizing Maps.- Neural Network Smoothing of Geonavigation Data on the Basis of Multilevel Regularization Algorithm.- Knowledge-Based Rule Extraction from Self-Organizing Maps.- A Bayesian Local Linear Wavelet Neural Network.- Analysis on Equilibrium Point of Expectation Propagation Using Information Geometry.- Partially Enhanced Competitive Learning.- Feature Detection by Structural Enhanced Information.- Gradient Learning in Networks of Smoothly Spiking Neurons.- Orthogonalization and Thresholding Method for a Nonparametric Regression Problem.- Analysis of Ising Spin Neural Network with Time-Dependent Mexican-Hat-Type Interaction.- Divided Chaotic Associative Memory for Successive Learning.- Reinforcement Learning Using Kohonen Feature Map Associative Memory with Refractoriness Based on Area Representation.- Automatic Model Selection via Corrected Error Backpropagation.- Self-Referential Event Lists for Self-Organizing Modular Reinforcement Learning.- Generalisation Performance vs. Architecture Variations in Constructive Cascade Networks.- Synchronized Oriented Mutations Algorithm for Training Neural Controllers.- Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed.- Sample Filtering Relief Algorithm: Robust Algorithm for Feature Selection.- Enhanced Visualization by Combing SOM and Mixture Models.- Genetic Versus Nearest-Neighbor Imputation of Missing Attribute Values for RBF Networks.- Combination of Dynamic Reservoir and Feedforward Neural Network for Time Series Forecasting.- Learning Nonadjacent Dependencies with a Recurrent Neural Network.- A Back-Propagation Training Method for Multilayer Pulsed Neural Networks Using Principle of Duality.- Revisiting the Problem of Weight Initialization for Multi-Layer Perceptrons Trained with Back Propagation.- Analysis on Generalization Error of Faulty RBF Networks with Weight Decay Regularizer.- On Node-Fault-Injection Training of an RBF Network.- Kernel Methods and SVM.- Symbolic Knowledge Extraction from Support Vector Machines: A Geometric Approach.- Asbestos Detection from Microscope Images Using Support Vector Random Field of Local Color Features.- Acoustic Echo Cancellation Using Gaussian Processes.- Automatic Particle Detection and Counting by One-Class SVM from Microscope Image.- Protein Folding Classification by Committee SVM Array.- Implementation of the MLP Kernel.- Fuzzy Rules Extraction from Support Vector Machines for Multi-class Classification with Feature Selection.- An SVM Based Approach to Cross-Language Adaptation for Indian Languages.- Automatic Classification System for the Diagnosis of Alzheimer Disease Using Component-Based SVM Aggregations.- Early Detection of the Alzheimer Disease Com...
