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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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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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Support Vector Machines and Their Application in Chemistry and Biotechnology

Elements and algorithms of support vector classification (SVC) and support vector regression (SVR) machines, along with discussion of simulated;

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Support Vector Machines and Their Application in Chemistry and Biotechnology

Elements and algorithms of support vector classification (SVC) and support vector regression (SVR) machines, along with discussion of simulated;

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Support Vector Machines

of support vector machines (SVMs)-classification problems and regression problems. The book emphasizes the close connection between optimization;

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Knowledge Discovery with Support Vector Machines

Perceptron learning Maximum margin classifiers Support vector machines Elements of statistical learning theory Multi-class classification;

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Learning with Support Vector Machines

from multiple types of input data. Table of Contents: Support Vector Machines for Classification / Kernel-based Models / Learning with;

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Study Of Foreground Image Segmentation using Support Vector Machines

This book gives a detailed investigation of a supervised image segmentation task using Support Vector Machine (SVM). Support vector machine;

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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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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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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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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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Machine Learning and Visual Perception

learning, support vector machines, AdaBoost, compressive sensing and so on.Both classic and novel algorithms are introduced in classifier design;

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Classification Methods for Internet Applications

of artificial neural networks, support vector machines, classification trees and other kinds of rule-based methods, as well as random forests and other;

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Classification Methods for Internet Applications

of artificial neural networks, support vector machines, classification trees and other kinds of rule-based methods, as well as random forests and other;

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Identification of Hostile TCP Traffic Using Support Vector Machines

recognise malicious or hostile network traffic based on previous examples of such behaviour. Whilst intrusion detection using machine learning;

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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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Machine Learning

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

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM;

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Introduction Support Vector Machines

This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances;

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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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Support-Vector Machines

This book reviews the basics of Support Vector Machines (SVM), their evolution and applications in diverse fields. SVM is an efficient;

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DATA MINING and MACHINE LEARNING. CLASSIFICATION PREDICTIVE TECHNIQUES: SUPPORT VECTOR MACHINE, LOGISTIC REGRESSION, DISCRIMINANT ANALYSIS and DECISION TREES

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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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