Kernel Based Algorithms for Mining Huge Data Sets

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Table of Contents

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Book Overview
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Chapter 1 Kernel Based Algorithms for Mining Huge Data Sets
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Chapter 2 Support Vector Machines in Classification and Regression — An Introduction
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Chapter 3 Iterative Single Data Algorithm for Kernel Machines from Huge Data Sets: Theory and Performance
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Chapter 4 Feature Reduction with Support Vector Machines and Application in DNA Microarray Analysis
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Chapter 5 Semi-supervised Learning and Applications
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Chapter 6 Unsupervised Learning by Principal and Independent Component Analysis

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patent: 5 patents

wikipedia: 3 Wikipedia pages

Citations

dimensions_citation: 49 Dimensions

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So far, Dimensions has found 49 publications that cite this research output.

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A data-driven methodology for wave time-series measurement on floating structures

Article in Ocean Engineering (July 2024)

Mean period prediction models for Mexican interplate and intermediate-depth intraslab earthquake ground motions

Article in Soil Dynamics and Earthquake Engineering (March 2024)

Field-Scale Winter Wheat Growth Prediction Applying Machine Learning Methods with Unmanned Aerial Vehicle Imagery and Soil Properties

Article in Land (February 2024)

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