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Knowledge Discovery with Support Vector Machines

Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial;

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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

This book presents topical research in the study of support vector machines. Topics discussed include the support vector machine in medical;

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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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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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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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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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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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Vector Control of Induction Machines

standardization of the structure of control devices. Vector Control of Induction Machines suggests a unique approach aimed at reducing parameter;

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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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Interpretability of Computational Intelligence Based Regression Models

The key idea of this book is that hinging hyperplanes, neural networks and support vector machines can be transformed into fuzzy models;

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Study Of Foreground Image Segmentation using Support Vector Machines

. Experimental results show that Support vector machine is a promising technique in image segmentation, which is compared with another supervised method;

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Support Vector Machines

of this book is to explain the principles that made support vector machines (SVMs) a successful modeling and prediction tool for a variety;

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Support Vector Machines

of this book is to explain the principles that made support vector machines (SVMs) a successful modeling and prediction tool for a variety;

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Data Mining

handling large-sized, streaming and imbalanced data, support vector machines, and extended coverage of textual data mining. The second edition;

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Intelligent Knowledge

in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its;

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Visual Analysis of Behaviour

processes; explores probabilistic graphical models, probabilistic topic models, space-time interest points, spectral clustering, and support vector;

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Hybrid Computational Intelligence: Challenges and Applications

vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from;

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Discovery And Fusion Of Uncertain Knowledge In Data

Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent;

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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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