02164cam a22003135a 4500001001400000003000400014005001700018008004100035020001800076040002600094082001900120100003500139245005900174260003100233300003500264500002000299504003100319505047400350506006200824520064400886650003501530653002001565710003401585773002001619776003601639942000801675999001701683952015001700ssj0001558340OSt20201128023735.0150715t2015    gw a   frb    001 0 eng d  a9783319200095  dWaSeSSdEG-ScBUEbeng04a006.3222bKUB1 aKubat, Miroslav,939937d1958-13aAn Introduction to Machine Learning /cMiroslav Kubat.  aCham :bSpringer,cc.2015.  axiii, 291 p. :bill. ;c24 cm.  aIndex : p. 291.  aBibliography : p. 287-290.0 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.  aAvailable on campus and off campus with authorized login.  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. 7aMachine learning.2BUEsh92922  bCOMSCIcMay20162 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9783319200095  2ddc  c21712d21684  00102ddc40708AlahramaMAINbMAINcLOWd2016-05-09ePurchaseg450.00l3m34o006.3 KUBp000032448r2025-07-15 00:00:00s2018-10-01v562.50yBB