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A Statistical Approach to Neural Networks for Pattern Recognition

and S-PLUS(r) codes that are available on the book's related Web site. A Statistical Approach to Neural Networks for Pattern Recognition;

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Pattern Recognition and Neural Networks

Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks. He brings;

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Pattern Recognition Using Neural Networks

text is suitable for an advanced undergraduate course in pattern recognition or neural networks, and is also useful as a reference and a;

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Neural Networks For Pattern Recognition

This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern;

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Pattern Recognition with Neural Networks in C++

The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more;

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Pattern Recognition with Neural Networks in C++

The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more;

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Statistical Pattern Recognition

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract;

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Statistical Pattern Recognition

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract;

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Introduction To Pattern Recognition

This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields;

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Artificial Neural Networks for Pattern Recognition

researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest;

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Pattern Classification

PATTERN CLASSIFICATION a unified view of statistical and neural approaches The product of years of research and practical experience;

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Pattern Recognition and Artificial Intelligence

of pattern recognition and artificial intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining;

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Pattern Recognition and Artificial Intelligence

intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining, neural networks, computer vision;

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Neural Networks

Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to;

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Neural Networks

Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to;

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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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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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Neural Networks and Statistical Learning

This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single;

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Netlab: Algorithms for Pattern Recognition

application of neural networks to pattern analysis problems. All parts of the toolbox interact in a coherent way, and implementations and descriptions;

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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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Artificial Neural Networks in Pattern Recognition

areas of neural network-and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and;

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Advances In Pattern Recognition And Applications

These proceedings present the state of the art in Spanish research on pattern recognition, image processing, speech recognition, and;

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Artificial Neural Networks in Pattern Recognition

This book constitutes the refereed proceedings of the 6th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern;

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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition;

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Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Capabilities and Applications of Artificial Higher Order Neural Networks contains innovative research on how to use HONNs in control and recognition;

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Computational Neuroscience

retina to object recognition, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning;

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Neural Networks

Neural Networks, Second Edition provides a complete introduction to neural networks. It describes what they are, what they can do, and how;

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