COPYRIGHT YEAR

2014

AUTHORS

Yalin Baştanlar, Mustafa Özuysal

TITLE

Introduction to Machine Learning

ABSTRACT

The machine learning field, which can be briefly defined as enabling computers make successful predictions using past experiences, has exhibited an impressive development recently with the help of the rapid increase in the storage capacity and processing power of computers. Together with many other disciplines, machine learning methods have been widely employed in bioinformatics. The difficulties and cost of biological analyses have led to the development of sophisticated machine learning approaches for this application area. In this chapter, we first review the fundamental concepts of machine learning such as feature assessment, unsupervised versus supervised learning and types of classification. Then, we point out the main issues of designing machine learning experiments and their performance evaluation. Finally, we introduce some supervised learning methods.

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21 TRIPLES      20 PREDICATES      22 URIs      12 LITERALS

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2 sg:chapterNumber Chapter 7
3 sg:copyrightHolder Springer Science+Business Media New York
4 sg:copyrightYear 2014
5 sg:ddsId b978-1-62703-748-8_7
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11 contributions:61d23a812141f406a9e9860007621ebb
12 sg:language En
13 sg:license http://scigraph.springernature.com/explorer/license/
14 sg:pageFirst 105
15 sg:pageLast 128
16 sg:scigraphId 4e4b9a275a084bc210889015c2a9fd11
17 sg:title Introduction to Machine Learning
18 sg:webpage https://link.springer.com/10.1007/978-1-62703-748-8_7
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20 rdfs:label BookChapter: Introduction to Machine Learning
21 owl:sameAs http://lod.springer.com/data/bookchapter/978-1-62703-748-8_7
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