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Multiple Classifier Systems

This book constitutes the refereed proceedings of the 12th International Workshop on Multiple Classifier Systems, MCS 2015, held;

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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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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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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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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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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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Recognition Of Whiteboard Notes

recognizer is applied. Commercial recognition systems are included in a multiple classifier system. The experimental results on the test set show a;

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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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Handbook on Neural Information Processing

classifier systems Self organisation and modal learning Applications to content-based image retrieval, text mining in large document collections, and;

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Nominal Arguments and Language Variation

Nominal Arguments in Language Variation investigates nominal arguments in classifier languages, refuting the long-held claim that;

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Nominal Arguments and Language Variation

Nominal Arguments in Language Variation investigates nominal arguments in classifier languages, refuting the long-held claim that;

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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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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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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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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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Combining Pattern Classifiers

A unified, coherent treatment of current classifier ensemble methods, from fundamentals of pattern recognition to ensemble feature;

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

modeling purposes. The neuro-fuzzy classifier is validated in comparison to some other well-known classifiers in classification of the recorded EMG;

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Medical Imaging and Computer Aided Diagnosis

, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human;

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Robot Shaping

based on classifier systems, a reinforcement learning architecture originated by John Holland, to which they have added several new ideas, such;

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Multiple Access Protocols For Mobile Communications

A comprehensive discussion of multiple access protocols for cellular systems and the consideration o;...

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Operations and Production Systems with Multiple Objectives

The first comprehensive book to uniquely combine the three fields of systems engineering, operations;...

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Wireless Communications

This book introduces the theoretical elements at the basis of various classes of algorithms commonly;...

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