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Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine;

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Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine;

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Selected Applications of Convex Optimization

This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter;

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Learning with Support Vector Machines

Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used;

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Support Vector Machines

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components;

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Support Vector Machines

in medical classification tasks and pattern recognition for machine fault diagnosis using support vector machines.;

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Knowledge Discovery with Support Vector Machines

Regression with support vector machines Novelty detection Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge;

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Twin Support Vector Machines

This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments;

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Twin Support Vector Machines

This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments;

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Machine Learning

motivations for the Support Vector Machines. From that, we introduce all necessary optimization concepts related to the implementation;

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Support Vector Machines and Their Application in Chemistry and Biotechnology

and application, Support Vector Machines and Their Application in Chemistry and Biotechnology provides a thorough description of the mechanism;

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Support Vector Machines and Their Application in Chemistry and Biotechnology

and application, Support Vector Machines and Their Application in Chemistry and Biotechnology provides a thorough description of the mechanism;

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Learning with Support Vector Machines

Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used;

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Machine Learning: A Practical Approach on the Statistical Learning Theory

motivations for the Support Vector Machines. From that, we introduce all necessary optimization concepts related to the implementation of Support;

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Modeling, Computation And Optimization

of advertising, application of reliability models in economics, support vector machines, optimization, complementarity modeling and games.;

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Bridging The Gap Between Graph Edit Distance And Kernel Machines

, fingerprints, and molecules, the authors demonstrate that some of the kernel functions in conjunction with support vector machines significantly;

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Classification Analysis of DNA Microarrays

approaches such as fuzzy methods, artificial neural networks, evolutionary-based genetic algorithms, support vector machines, and swarm intelligence;

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Theory of Reproducing Kernels and Applications

applications.In Chapter 1, many concrete reproducing kernels are first introduced with detailed information. Chapter 2 presents a general and global;

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Support Vector Machines for Antenna Array Processing and Electromagnetics

Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear solution for classification and regression tasks;

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Support Vector Machines for Antenna Array Processing And Electromagnetics

Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear solution for classification and regression tasks;

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Regularized System Identification

and powerful algorithms for a variety of linear and nonlinear problems. Regression methods such as regularization networks and support vector;

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Sequence Classification Using Support Vector Machines

explained. After that an introduction in classification tasks, machine learning and support vector machines will be given and the so called Motif;

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Evolutionary Machine Learning Techniques

methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning;

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Evolutionary Machine Learning Techniques

methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning;

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Gentle Introduction To Support Vector Machines In Biomedicine, A - Volume 2

Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning;

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Gentle Introduction To Support Vector Machines In Biomedicine, A - Volume 1

Support Vector Machines (SVMs) are among the most important recent developments in pattern recognition and statistical machine learning;

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Mathematical Analysis For Machine Learning And Data Mining

which are indispensable for approaching specialized area of machine learning centered around optimization such as support vector machines;

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