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    Year Entries
006.31 Mach   3
006.31 Mars   2
006.31 Mitc   2
006.31 Murp : Machine learning : a probabilistic perspective / Kevin P. Murphy.  2012 1
006.31 Myer : Delay learning in artificial neural networks / Catherine Myers.  1992 1
006.31 Pala : Searching with probabilities / Andrew J. Palay.  1985 1
006.31 Patt : Deep learning : a practitioner's approach / Josh Patterson and Adam Gibson.  2017 1
006.31 Powe : Optimal learning / Warren B. Powell, Ilya O. Ryzhov.  2012 1
006.31 Prac : Practical handbook of genetic algorithms / edited by Lance Chambers.  1999 1
006.31 Proc   2
006.31 Quin : Learning relations : comparison of a symbolic and a connectionist approach / J.R. Quinlan.  1989 1
006.31 Rein : Reinforcement learning / edited by Richard S. Sutton.  1992 1
006.31 Roge : A first course in machine learning / Simon Rogers, Mark Girolami.  2012 1
006.31 Scho : Learning with kernels : support vector machines, regularization, optimization, and beyond / Bernhard Schölkopf, Alexander J. Smola.  2002 1
006.31 Semi : Semi-supervised learning / [edited by] Olivier Chapelle, Bernhard Schölkopf, Alexander Zien.  2006 1
006.31 Shaw : Kernel methods for pattern analysis / John Shawe-Taylor, Nello Cristianini.  2004 1
006.31 Spec : Automatic quantum computer programming : a genetic programming approach / Lee Spector.  2004 1
006.31 Sutt : Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto.  1998 1
006.31 Theo : Machine learning : a Bayesian and optimization perspective / Sergios Theodoridis.  2015 1
006.31 Thor Bund3 20110303} : Truth from trash : how learning makes sense / Chris Thornton.  c2000 1
006.31 Thru : Explanation-based neural network learning : a lifelong learning approach / by Sebastian Thrun.  1996 1
006.31 Vanh : Constraint satisfaction in logic programming / Pascal Van Hentenryck.  1989 1
006.31 Vapn : Statistical learning theory / Vladimir N. Vapnik.  1998 1
006.31 Vidy   2
006.31 Vovk : Algorithmic learning in a random world / Vladimir Vovk, Alexander Gammerman, Glenn Shafer.  2005 1
006.31 Wata : Algebraic geometry and statistical learning theory / Sumio Watanabe.  2009 1
006.31 Wier Bund10 20110701} : Machine intelligence and explanation / Roel Wieringa.  1987 1
006.31015118 Hutc : Algorithmic learning / Alan Hutchinson.  1994 1
006.310151923 Rasm : Gaussian processes for machine learning / Carl Edward Rasmussen, Christopher K.I. Williams.  2006 1
006.31015195 Lear : Learning from data : artificial intelligence and statistics V / Doug Fisher, Hans-J. Lenz, editors.  1996 1
006.31015195 Mach : Machine learning and statistics : the interface / edited by G. Nakhaeizadeh, C.C. Taylor.  1997 1
006.31015195 Vapn   2
006.312 Acti : Active mining : new directions of data mining / edited by Hiroshi Motoda.  2002 1
006.312 Adva : Advances in data mining and modeling : Hong Kong, 27-28 June 2002 / editors, Wai-Ki Ching, Michael Kwok-Po Ng.  2003 1
006.312 Ande : Visual data mining : the VisMiner approach / Russell K. Anderson.  2013 1
006.312 Azza : Data analysis and data mining : an Introduction / Adelchi Azzalini, Bruno Scarpa ; [text revised by Gabriel Walton].  2012 1
006.312 Data   3
006.312 Du : Data mining techniques and applications : an introduction / Hongbo Du.  2010 1
006.312 Evol : Evolutionary computation in data mining / Ashish Ghosh, Lakhmi C. Jain (eds.).  2005 1
006.312 Fern   3
006.312 Hand : Principles of data mining / David Hand, Heikki Mannila, Padhraic Smyth.  2001 1
006.312 Inte : Intelligent agents for data mining and information retrieval / Masoud Mohammadian, [editor].  2004 1
006.312 Kant : Data mining : concepts, models, methods, and algorithms / Mehmed Kantardzic.  2003 1
006.312 Liu   2
006.312 Maye   2
006.312 Mirk   2
006.312 Mitr : Data mining : multimedia, soft computing, and bioinformatics / Sushmita Mitra, Tinku Acharya.  2003 1
006.312 Mits : Temporal data mining / Theophano Mitsa.  2010 1
006.312 Myat   2
006.312 Pear : Mining imperfect data : dealing with contamination and incomplete records / Ronald K. Pearson.  2005 1
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