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Visual Knowledge Discovery and Machine Learning

class of visual representations, called the General Lines Coordinates (GLCs), is accompanied by a set of algorithms for n-D data classification;

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Construction And Assessment Of Classification Rules

Classification rules can be defined as objective, formal methods used for statistical classification. This text presents the central issues;

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Forms Of Fermat Equations And Their Zeta Functions

, a complete and explicit classification of all cubic binary equations is given. If K is a finite field containing the d-th roots of unity;

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The Standard Occupational Classification (SOC) 2010 Vol 3

and conventions underlying Standard Occupational Classification (SOC) which lists different groups, job tasks and the common job titles.;

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Genetic Programming

-class classification, SQL injection attacks, numerical modelling, streaming data classification, creation and optimisation of circuits, multi;

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Design Techniques For Integrated Cmos Class-d Audio Amplifiers

-D audio amplifiers integrated circuits. The first part of the book introduces the motivation and fundamentals of audio amplification. The;

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Design Techniques For Integrated Cmos Class-d Audio Amplifiers

-D audio amplifiers integrated circuits. The first part of the book introduces the motivation and fundamentals of audio amplification. The;

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Primitive Classification

of classification and they seek the origin of the 'classificatory function' in society. On the basis of an intensive examination of forms and principles;

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Primitive Classification (Routledge Revivals)

of classification and they seek the origin of the 'classificatory function' in society. On the basis of an intensive examination of forms and principles;

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Data Classification

Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such;

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Data Classification

Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such;

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Machine Learning Paradigms

Recognition by developing Artificial Immune System-based machine learning algorithms for the problems of Clustering, Classification and One-Class;

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Mixture Model-Based Classification

clustering and classification of longitudinal data as well as discussion about how to define a cluster Paul D. McNicholas is the Canada Research;

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Mixture Model-Based Classification

clustering and classification of longitudinal data as well as discussion about how to define a cluster Paul D. McNicholas is the Canada Research;

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Learning from Imbalanced Data Sets

which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing;

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Learning from Imbalanced Data Sets

which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing;

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Human Lymphoma

Human Lymphoma: The Clinical Implications of the REAL Classification is a unique volume. It is based on the recent developments;

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International Trademark Classification

International Trademark Classification: A Guide to the Nice Agreement provides practical guidance from a leading expert offering help for;

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