Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning

Buy

"Kernel Based Algorithms for Mining Huge Data Sets" is the first book treating the fields of supervised, semi-supervised and unsupervised machine learning collectively. The book presents both the theory and the algorithms for mining huge data sets by using support vector machines (SVMs) in an iterative way. It demonstrates how kernel based SVMs can be used for dimensionality reduction (feature elimination) and shows the similarities and differences between the two most popular unsupervised techniques, the principal component analysis (PCA) and the independent component analysis (ICA). The book presents various examples, software, algorithmic solutions enabling the reader to develop their own codes for solving the problems. The book is accompanied by a website for downloading both data and software for huge data sets modeling in a supervised and semisupervised manner, as well as MATLAB based PCA and ICA routines for unsupervised learning. The book focuses on a broad range of machine learning algorithms and it is particularly aimed at students, scientists, and practicing researchers in bioinformatics (gene microarrays), text-categorization, numerals recognition, as well as in the images and audio signals de-mixing (blind source separation) areas.

This is a book about (machine) learning from (experimental) data. Many books devoted to this broad field have been published recently. One even feels tempted to begin the previous sentence with an adjective extremely. Thus, there is an urgent need to introduce both the motives for and the content of the present volume in order to highlight its distinguishing features.

Before doing that, few words about the very broad meaning of data are in order. Today, we are surrounded by an ocean of all kind of experimental data (i.e., examples, samples, measurements, records, patterns, pictures, tunes, observations,..., etc) produced by various sensors, cameras, microphones, pieces of software and/or other human made devices. The amount of data produced is enormous and ever increasing. The first obvious consequence of such a fact is - humans can’t handle such massive quantity of data which are usually appearing in the numeric shape as the huge (rectangular or square) matrices. Typically, the number of their rows (n) tells about the number of data pairs collected, and the number of columns (m) represent the dimensionality of data. Thus, faced with the Giga- and Terabyte sized data files one has to develop new approaches, algorithms and procedures. Few techniques for coping with huge data size problems are presented here. This, possibly, explains the appearance of a wording ’huge data sets’ in the title of the book.

(HTML tags aren't allowed.)

Learning SQL
Learning SQL
Updated for the latest database management systems -- including MySQL 6.0, Oracle 11g, and Microsoft's SQL Server 2008 -- this introductory guide will get you up and running with SQL quickly. Whether you need to write database applications, perform administrative tasks, or generate reports, Learning SQL, Second...
Pattern Recognition: Practices, Perspectives and Challenges (Computer Science, Technology and Applications)
Pattern Recognition: Practices, Perspectives and Challenges (Computer Science, Technology and Applications)

In this book, the authors present current research in the study of the practices, perspectives and challenges of pattern recognition. Topics include the practical usage of algorithmic probability in pattern recognition; application of pattern recognition in optimization-simulation techniques; pattern recognition applied to spectroscopy;...

The Management Bible
The Management Bible
The Management Bible is the most comprehensive book on the topic of management available anywhere. It offers in-depth coverage of the entire range of essential topics for today’s managers and supervisors—from beginners to seasoned veterans—and includes practical, effective solutions for the everyday problems every manager...

Semi-Classical Analysis For Nonlinear Schrodinger Equations
Semi-Classical Analysis For Nonlinear Schrodinger Equations
These lecture notes review recent results on the high-frequency analysis of nonlinear SchrГѓВ¶dinger equations in the presence of an external potential. The book consists of two relatively independent parts: WKB analysis, and caustic crossing. In the first part, the basic linear WKB theory is constructed and then extended to the...
Apple Pro Training Series : Advanced Editing and Finishing Techniques in Final Cut Pro HD (2nd Edition)
Apple Pro Training Series : Advanced Editing and Finishing Techniques in Final Cut Pro HD (2nd Edition)

Final Cut Pro is a serious tool for serious (usually professional) editorswhich means that if you're like most users, you already know the software's interface, are well-versed in editing basics, and are interested in just one thing: going as deep as possible with the software's tools and features. In ...

Learn Qt 5: Build modern, responsive cross-platform desktop applications with Qt, C++, and QML
Learn Qt 5: Build modern, responsive cross-platform desktop applications with Qt, C++, and QML

Learn the fundamentals of QT 5 framework to develop interactive cross-platform applications

Key Features

  • A practical guide on the fundamentals of application development with QT 5
  • Learn to write scalable, robust and adaptable C++ code with QT
  • Deploy your...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy