Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications 9789811965531, 9789811965524, 9811965536

Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications [1 ed.] 9811965528, 9789811965524, 9789811965531, 9789811965555

This book contains select chapters on support vector algorithms from different perspectives, including mathematical back

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Learning with Support Vector Machines 1608456161, 9781608456161

183 12 672KB Read more

Learning kernel classifiers: theory and algorithms 9780262083065, 026208306X

Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel techn

413 60 3MB Read more

Learning Kernel Classifiers: Theory and Algorithms 026208306X, 9780585436685, 9780262083065

Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel techn

391 2 3MB Read more

A short Introduction to Support Vector Machines and Kernelbased Learning

• Disadvantages of classical neural nets• SVM properties and standard SVM classifier• Related kernelbased learning metho

449 45 1MB Read more

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods [1 ed.] 9780521780193, 0521780195

This is the first comprehensive introduction to SVMs, a new generation learning system based on recent advances in stati

375 72 4MB Read more

Support Vector Machines: Theory and Applications [1 ed.] 9783540243885, 3-540-24388-7

The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This careful

512 92 7MB Read more

Data Mining via Support Vector Machines

Support vector machines (SVMs) have played a key role in broad classes of problems arising in various fields. Much more

437 41 538KB Read more

Least Squares Support Vector Machines 9812381511, 9789812381514, 9789812776655

An examination of least squares support vector machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are

377 81 261KB Read more

Learning and Soft Computing: Support Vector Machines, Neural Networks and Fuzzy Logic Models [1 ed.] 0262112558, 9780585393001, 9780262112550

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Suppo

470 89 7MB Read more