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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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Vietnamese Classifiers in Narrative Texts

prototypical pattern of phrase-level numeral classifiers. In Vietnamese several of the functions attributed to classifiers imply discourse relations;

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Pattern Classification

This book provides a unified approach for developing a fuzzy classifier and explains the advantages ;...

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Introduction To Pattern Recognition And Machine Learning

This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides;

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Lazy Learning

practitioners of data mining, case-based reasoning, statistics, and pattern recognition.;

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Lazy Learning

researchers and practitioners of data mining, case-based reasoning, statistics, and pattern recognition.;

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Pattern Recognition and Computational Intelligence Techniques Using Matlab

This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way;

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Error Estimation for Pattern Recognition

estimators to distributional and Bayesian theory, it covers important topics and essential issues pertaining to the scientific validity of pattern;

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Computer Recognition Systems 4

comprehensive study of this field. It contains a collection of 78 carefully selected articles contributed by experts of pattern recognition. It reports;

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Phoronyms

This is the first book devoted to the phoronym, a largely overlooked grammatical category that inclu;...

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Supervised and Unsupervised Pattern Recognition

and computational intelligence, as Supervised and Unsupervised Pattern Recognition does. This volume describes the application of a novel;

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Bridging The Gap Between Graph Edit Distance And Kernel Machines

In graph-based structural pattern recognition, the idea is to transform patterns into graphs and perform the analysis and recognition;

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Numeral Classifiers and Classifier Languages

Focussing mainly on classifiers, Numeral Classifier and Classifier Languages offers a deep investiga;...

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Automatic Modulation Classification

Automatic Modulation Classification (AMC) has been a key technology in many military, security, and ;...

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Pattern Recognition

A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex;

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An Introduction to Machine Learning

This book presents basic ideas of machine learning in a way that is easy to understand, by providing;...

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Microelectronics and Third-World Industries

from China and major machinery exporting countries, this book establishes the international pattern of diffusion of microelectronic industrial;

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The Sound Pattern of English

The theoretical issues raised in The Sound Pattern of English continue to be critical to current phonology, and in many instances the;

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Opinion Analysis For Online Reviews

This book provides a comprehensive introduction on opinion analysis for online reviews. It offers th;...

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Opinion Analysis For Online Reviews

This book provides a comprehensive introduction on opinion analysis for online reviews. It offers th;...

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Data-Driven Computational Neuroscience

Data-driven computational neuroscience facilitates the transformation of data into insights into the;...

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An Introduction to Machine Learning

This textbook offers a comprehensive introduction to Machine Learning techniques and algorithms. Thi;...

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Numeral Classifiers and Classifier Languages

Focusing mainly on classifiers, Numeral Classifiers and Classifier Languages offers a deep investiga;...

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The Perfect You - A Blueprint for Identity

harness your brilliant design--the unique, God-wired thinking pattern that shapes the way you think, feel, and make choices--so you can live out;

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Exploiting the Power of Group Differences

This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems. The methods are all;

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Exploiting the Power of Group Differences

This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems. The methods are all;

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