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

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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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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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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

, Optimization, Kernels, and Support Vector Machines is ideal for researchers in machine learning, pattern recognition, data mining, signal processing;

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Support Vector Machine In Chemistry

In recent years, the support vector machine (SVM), a new data processing method, has been applied to many fields of chemistry and chemical;

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Support Vector Data Description

data description classifier. Basically, wedeveloped a unique class of model using six differentclasses of subjects, predicting elderly;

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Lectures on Vector Bundles over Riemann Surfaces. (MN-6)

The description for this book, Lectures on Vector Bundles over Riemann Surfaces. (MN-6), will be forthcoming.;

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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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Open Source GIS

support, vector networks analysis, lidar data processing and new graphical user interfaces. All chapters were updated with numerous practical;

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Open Source GIS

support, vector networks analysis, lidar data processing and new graphical user interfaces. All chapters were updated with numerous practical;

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Artificial Intelligence in Civil Engineering

Inference System, Support Vector Machine, Least Square Support Vector Machine, Relevance Vector Machine, Multivariate Adaptive Regression Spline;

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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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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

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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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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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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Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS

change on vector distributions, and availability and importance of accurate epidemiologically relevant spatial data Describes modelling and;

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Modelling Interactions Between Vector-Borne Diseases and Environment Using GIS

change on vector distributions, and availability and importance of accurate epidemiologically relevant spatial data Describes modelling and;

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A Hybrid Feature Selection Model For Genome Wide Association Studies

of support vector machine and decision tree has been designed. This model also combines the genotype and phenotype information to increase the;

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Artificial Intelligence Tools

application Covers classification methods, from neural networks to Bayesian and support vector machines Proposes fuzzy logic to explain the;

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Artificial Intelligence Tools

with real-life application Covers classification methods, from neural networks to Bayesian and support vector machines Proposes;

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Cognitive Science and Artificial Intelligence

chapters on Artificial Intelligence, Decision Support Systems, Machine Learning, Data Mining and Support Vector Machines, chiefly with regard to;

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