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Classified and Classifier

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Numeral Classifiers and Classifier Languages

Focussing mainly on classifiers, Numeral Classifier and Classifier Languages offers a deep investigation of the three major classifier;

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Perspectives on Classifier Constructions in Sign Languages

Classifier constructions are universal to sign languages and exhibit unique properties that arise from the nature of the visual-gestural;

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Nominal Arguments and Language Variation

classifier languages and extends the parameters to argument formation in general. In addition to paying particular attention to these two classifier;

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Nominal Arguments and Language Variation

classifier languages and extends the parameters to argument formation in general. In addition to paying particular attention to these two classifier;

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Perspectives on Classifier Constructions in Sign Languages

Classifier constructions are universal to sign languages and exhibit unique properties that arise from the nature of the visual-gestural;

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Numeral Classifiers and Classifier Languages

Focusing mainly on classifiers, Numeral Classifiers and Classifier Languages offers a deep investigation of three major classifier;

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KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy from EEG Signals. A Detailed Analysis

Knn Classifier and K-Means Clustering Fo;

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Multiple Classifier Systems

issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and;

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Combining Pattern Classifiers

selection, now in its second edition The art and science of combining pattern classifiers has flourished into a prolific discipline since the first;

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Foundations of Genetic Algorithms 1991 (FOGA 1)

Foundations of Genetic Algorithms 1991 (FOGA 1) discusses the theoretical foundations of genetic algorithms (GA) and classifier systems;

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Iris Image Recognition

This book provides the new results in wavelet filter banks based feature extraction, and the classifier in the field of iris image;

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EMG Signals Characterization in Three States of Contraction by Fuzzy Network and

Neuro-muscular and musculoskeletal disorders and injuries highly affect the life style and the motion abilities of an individual. This;

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Learning Classifier Systems

Classifier Systems that took place in Atlanta, GA, USA in July 2008, and in Montreal, Canada, in July 2009 - all hosted by the Genetic and;

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Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

pixels, non-linearity and noisy pixels. Further, this book covers about techniques for quantiative assessment of soft classified fraction;

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Reducing the Computational Requirements of Nearest Neighbor Classifier

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Diversity Role in Designing Multiple Classifier Systems Using MATLAB

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sEMG-based Control Strategy for a Hand Exoskeleton System

classifier for predicting the wearer's motor intention and driving the exoskeleton accordingly. While similar classifier have been widely used for;

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Against Inclusiveness

of power by the classifier that denies the dignity of the person classified. All rational consideration of human reality is thereby suspended, and;

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The Analysis of Cross-Classified Categorical Data

A variety of biological and social science data come in the form of cross-classified tables of counts, commonly referred to as contingency;

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Hybrid Artificial Intelligent Systems

and knowledge discovery, evolutionary computation, learning algorithms, systems, man, and cybernetics by HAIS workshop, methods of classifier;

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Pattern Classification

, polynomial regression, multilayer perceptron, and radial basis functions. Important topics such as feature selection, reject criteria, classifier;

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Delmar's new, Revised and Complete Classified Trades Directory

Delmar's New, Revised and Complete Classified Trades Directory and Mercantile Manual of Mexico, Central America and the West India Islands;

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Support Vector Data Description

This book is based on the basis that machine learningalgorithms and rank based statistical methods are abetter choice to develop a robust;

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Machine Learning and Visual Perception

learning, support vector machines, AdaBoost, compressive sensing and so on.Both classic and novel algorithms are introduced in classifier design;

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Pattern Classification

This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different;

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Strength or Accuracy

Classifier systems are an intriguing approach to a broad range of machine learning problems, based on automated generation and evaluation;

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