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008 170212s2015 gw | s |||| 0|eng d
020 _a9783319200101
_9978-3-319-20010-1
024 7 _a10.1007/978-3-319-20010-1
_2doi
035 _ato000560216
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aKubat, Miroslav.
_eauthor.
_9466178
245 1 3 _aAn Introduction to Machine Learning
_helectronic resource
_cby Miroslav Kubat.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXIII, 291 p. 71 illus., 2 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aA Simple Machine-Learning Task -- Probabilities: Bayesian Classifiers -- Similarities: Nearest-Neighbor Classifiers -- Inter-Class Boundaries: Linear and Polynomial Classifiers -- Artificial Neural Networks -- Decision Trees -- Computational Learning Theory -- A Few Instructive Applications -- Induction of Voting Assemblies -- Some Practical Aspects to Know About -- Performance Evaluation.-Statistical Significance -- The Genetic Algorithm -- Reinforcement learning.
520 _aThis book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms.
650 0 _aComputer Science.
_9155490
650 0 _aInformation Storage and Retrieval.
_9303027
650 0 _aArtificial intelligence.
_9274099
650 0 _aComputer simulation.
_9304569
650 0 _aPattern Recognition.
_9304129
650 1 4 _aComputer Science.
_9155490
650 2 4 _aArtificial Intelligence (incl. Robotics).
_9274102
650 2 4 _aSimulation and Modeling.
_9304570
650 2 4 _aInformation Storage and Retrieval.
_9303027
650 2 4 _aPattern Recognition.
_9304129
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-20010-1
912 _aZDB-2-SCS
999 _c414372