Feature Selection Feature Extraction

Feature Engineering for Machine Learning and Data Analytics  eBooks & eLearning

Posted by readerXXI at May 21, 2018
Feature Engineering for Machine Learning and Data Analytics

Feature Engineering for Machine Learning and Data Analytics
by Guozhu Dong and Huan Liu
English | 2018 | ISBN: 1138744387 | 419 Pages | PDF | 24 MB

Data Mining and Applications in Genomics  eBooks & eLearning

Posted by AvaxGenius at May 19, 2018
Data Mining and Applications in Genomics

Data Mining and Applications in Genomics By Sio-Iong Ao
English | PDF | 2008 | 159 Pages | ISBN : 1402089740 | 4.63 MB

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Topics covered include Genomic Techniques, Single Nucleotide Polymorphisms, Disease Studies, HapMap Project, Haplotypes, Tag-SNP Selection, Linkage Disequilibrium Map, Gene Regulatory Networks, Dimension Reduction, Feature Selection, Feature Extraction, Principal Component Analysis, Independent Component Analysis, Machine Learning Algorithms, Hybrid Intelligent Techniques, Clustering Algorithms, Graph Algorithms, Numerical Optimization Algorithms, Data Mining Software Comparison, Medical Case Studies, Bioinformatics Projects, and Medical Applications.

Understanding-Oriented Multimedia Content Analysis  eBooks & eLearning

Posted by AvaxGenius at May 26, 2017
Understanding-Oriented Multimedia Content Analysis

Understanding-Oriented Multimedia Content Analysis By Zechao Li
English | PDF | 2017 | 166 Pages | ISBN : 9811036888 | 5.5 MB

This book offers a systematic introduction to an understanding-oriented approach to multimedia content analysis. It integrates the visual understanding and learning models into a unified framework, within which the visual understanding guides the model learning while the learned models improve the visual understanding. More specifically, it discusses multimedia content representations and analysis including feature selection, feature extraction, image tagging, user-oriented tag recommendation and understanding-oriented multimedia applications.

Computational Intelligence in Multi-Feature Visual Pattern Recognition (Repost)  eBooks & eLearning

Posted by DZ123 at June 12, 2018
Computational Intelligence in Multi-Feature Visual Pattern Recognition (Repost)

Pramod Kumar Pisharady, Prahlad Vadakkepat, Loh Ai Poh, "Computational Intelligence in Multi-Feature Visual Pattern Recognition"
English | 2014 | ISBN: 9812870555 | PDF | pages: 142 | 5.7 mb

Prominent Feature Extraction for Sentiment Analysis  eBooks & eLearning

Posted by roxul at March 26, 2016
Prominent Feature Extraction for Sentiment Analysis

Basant Agarwal and Namita Mittal, "Prominent Feature Extraction for Sentiment Analysis"
English | ISBN: 3319253417 | 2016 | 124 pages | PDF | 1 MB

Spectral Feature Selection for Data Mining (repost)  eBooks & eLearning

Posted by arundhati at Aug. 20, 2014
Spectral Feature Selection for Data Mining (repost)

Zheng Alan Zhao, "Spectral Feature Selection for Data Mining"
2012 | ISBN: 1439862095 | 219 pages | PDF | 11 MB

Spectral Feature Selection for Data Mining  eBooks & eLearning

Posted by nebulae at Oct. 22, 2013
Spectral Feature Selection for Data Mining

Zheng Alan Zhao, "Spectral Feature Selection for Data Mining"
English | ISBN: 1439862095 | 2012 | 219 pages | PDF | 11 MB

Computational Methods of Feature Selection  eBooks & eLearning

Posted by step778 at May 24, 2018
Computational Methods of Feature Selection

Huan Liu, Hiroshi Motoda, "Computational Methods of Feature Selection"
2007 | pages: 411 | ISBN: 1584888784 | PDF | 3,1 mb

Recent Advances in Ensembles for Feature Selection  eBooks & eLearning

Posted by AvaxGenius at May 2, 2018
Recent Advances in Ensembles for Feature Selection

Recent Advances in Ensembles for Feature Selection By Verónica Bolón-Canedo
English | PDF,EPUB | 2018 | 212 Pages | ISBN : 331990079X | 8.56 MB

This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance.

Feature Writing: A Practical Introduction (Repost)  eBooks & eLearning

Posted by step778 at March 20, 2018
Feature Writing: A Practical Introduction (Repost)

Susan Pape, "Feature Writing: A Practical Introduction"
2006 | pages: 173 | ISBN: 1412907993 | PDF | 1,1 mb