Машинско учење — разлика између измена
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Ред 23:
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* Richard O. Duda, Peter E. Hart, David G. Stork (2001) ''Pattern classification'' (2nd edition), Wiley, New York, ISBN 0-471-05669-3.
* Huang T.-M., Kecman V., Kopriva I. (2006), [http://learning-from-data.com Kernel Based Algorithms for Mining Huge Data Sets, Supervised, Semi-supervised, and Unsupervised Learning], Springer-Verlag, Berlin, Heidelberg, 260 pp.
* KECMAN Vojislav (2001), [http://support-vector.ws Learning and Soft Computing, Support Vector Machines, Neural Networks and Fuzzy Logic Models], The MIT Press, Cambridge, MA, 608 pp., 268 illus., ISBN 0-262-11255-8.
* MacKay, D.J.C. (2003). ''[http://www.inference.phy.cam.ac.uk/mackay/itila/ Information Theory, Inference, and Learning Algorithms]'', Cambridge University Press.
* Ian H. Witten and Eibe Frank ''Data Mining: Practical machine learning tools and techniques'' Morgan Kaufmann ISBN 0-12-088407-0.
* Sholom Weiss and Casimir Kulikowski (1991). ''Computer Systems That Learn'', Morgan Kaufmann.
* Mierswa, Ingo and Wurst, Michael and Klinkenberg, Ralf and Scholz, Martin and Euler, Timm: ''YALE: Rapid Prototyping for Complex Data Mining Tasks'', in Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-06), 2006.
* Trevor Hastie, Robert Tibshirani and Jerome Friedman (2001). ''[http://www-stat.stanford.edu/~tibs/ElemStatLearn/ The Elements of Statistical Learning]'', Springer. ISBN 0-387-95284-5.
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