An Introduction to Support Vector Machines: And Other Kernel Based Learning Methods

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (Repost)

Nello Cristianini, John Shawe-Taylor, "An Introduction to Support Vector Machines and Other Kernel-based Learning Methods"
2000 | pages: 189 | ISBN: 0521780195 | CHM | 3,7 mb


Nello Cristianini, John Shawe-Taylor, "An Introduction to Support Vector Machines and Other Kernel-based Learning Methods"
Cambridge University Press | ISBN 0521780195 | 2000 Year | CHM | 4 Mb | 189 Pages

An Introduction to Mathematical Finance: Options and Other Topics by Sheldon M. Ross  eBooks & eLearning

Posted by tanas.olesya at Oct. 12, 2014
An Introduction to Mathematical Finance: Options and Other Topics by Sheldon M. Ross

An Introduction to Mathematical Finance: Options and Other Topics by Sheldon M. Ross
Cambridge University Press | August 28, 1999 | English | ISBN: 0521770432 | 184 pages | PDF | 37 MB

This mathematically elementary introduction to the theory of options pricing presents the Black-Scholes theory of options as well as introducing such topics in finance as the time value of money, mean variance analysis, optimal portfolio selection, and the capital assets pricing model.
What You Need to Know Before You Invest: An Introduction to the Stock Market and Other Investments (repost)

What You Need to Know Before You Invest: An Introduction to the Stock Market and Other Investments
Barron's Educational Series | 1999 | ISBN: 0764110020 | Pages: 300 | PDF | 2.39 MB
Rod Davis - What You Need to Know Before You Invest: An Introduction to the Stock Market and Other Investments

Rod Davis - What You Need to Know Before You Invest: An Introduction to the Stock Market and Other Investments
Barron's Educational Series | 1999 | ISBN: 0764110020 | Pages: 300 | PDF | 2.39 MB

Support Vector Machines  eBooks & eLearning

Posted by step778 at March 26, 2015
Support Vector Machines

Ingo Steinwart, Andreas Christmann, "Support Vector Machines"
2008 | pages: 611 | ISBN: 0387772413 | PDF | 3,7 mb

Learning with Support Vector Machines (Repost)  eBooks & eLearning

Posted by leonardo78 at Nov. 1, 2016
Learning with Support Vector Machines (Repost)

Learning with Support Vector Machines by Colin Campbell, Yiming Ying
Publisher: Morgan & Claypool | 2011 | ISBN: 1608456161 | 100 pages | PDF | 0,6 MB

Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide range of applications from recognizing hand-written digits, to face identification, text categorisation, bioinformatics, and database marketing.
Bio-Inspired Credit Risk Analysis: Computational Intelligence with Support Vector Machines (repost)

Bio-Inspired Credit Risk Analysis: Computational Intelligence with Support Vector Machines by Lean Yu
English | 3 Jun. 2008 | ISBN: 3540778020 | 264 Pages | PDF | 5 MB

Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry.

Support Vector Machines and Perceptrons  eBooks & eLearning

Posted by AlenMiler at Aug. 30, 2016
Support Vector Machines and Perceptrons

Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks (SpringerBriefs in Computer Science) by M.N. Murty
English | 25 Aug. 2016 | ISBN: 3319410628 | 112 Pages | PDF (True) | 1.78 MB

This work reviews the state of the art in SVM and perceptron classifiers. A Support Vector Machine (SVM) is easily the most popular tool for dealing with a variety of machine-learning tasks, including classification.

Support Vector Machines and Their Application in Chemistry and Biotechnology  eBooks & eLearning

Posted by arundhati at Aug. 10, 2015
Support Vector Machines and Their Application in Chemistry and Biotechnology

Yizeng Liang, Qing-Song Xu, "Support Vector Machines and Their Application in Chemistry and Biotechnology"
2011 | ISBN-10: 1439821275 | 211 pages | PDF | 3 MB