Brief Display Limit/Sort Search
     
Limit search to available items
Nearby Call Numbers are:
Result Page   Prev Next
Add Marked to Bag Add All On Page Add Marked to My Lists
Mark   Medium Year
006.31 Mlp/Oth 1992 : Machine learning : proceedings of the ninth international workshop (ML92) / edited by Derek Sleeman and Peter Edwards     
      Machine learning : proceedings of the ninth international workshop (ML92) / edited by Derek Sleeman and Peter Edwards W'PONDS  Book 1992
006.31 Mlp/Ott 1993 : Machine learning : proceedings of the tenth International Conference : University of Massachusetts, Amherst June 27-29, 1993     
      Machine learning : proceedings of the tenth International Conference : University of Massachusetts, Amherst June 27-29, 1993 W'PONDS  Book 1993
006.31 Moh/Fom : Foundations of machine learning / Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar     
      Foundations of machine learning / Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar MELB  Book 2018
006.31 Mur/Mla    
      Machine learning : a probabilistic perspective / Kevin P. Murphy MELB, W'PONDS   Book 2012
      Machine learning : a probabilistic perspective / Kevin P. Murphy MELB, W'PONDS   Book 2012
      Machine learning : a probabilistic perspective / Kevin P. Murphy MELB, W'PONDS   Book 2012
006.31 Nah/Mcu : Microarray classification using statistical learning and decision tree algorithms / by Jesmin Nahar     
      Microarray classification using statistical learning and decision tree algorithms / by Jesmin Nahar MELB THESES  Book 2007
006.31 Nat/Fst : From statistics to neural networks : theory and pattern recognition applications     
      From statistics to neural networks : theory and pattern recognition applications W'PONDS  Book 1994
006.31 Ned/Emt : Evolvable machines : theory & practice / N. Nedjah, L. de Macedo Mourelle, (Eds)     
      Evolvable machines : theory & practice / N. Nedjah, L. de Macedo Mourelle, (Eds) W'PONDS  Book 2005
006.31 Neu/Btg : Bridging the gap between graph edit distance and kernel machines / Michel Neuhaus, Horst Bunke     
      Bridging the gap between graph edit distance and kernel machines / Michel Neuhaus, Horst Bunke W'PONDS  Book 2007
006.31 New/Gmo : Geometric modelling of concepts & API / D.A. Newlands and G.I. Webb     
      Geometric modelling of concepts & API / D.A. Newlands and G.I. Webb WATERFT ADPML  Book 1995
006.31 Per/Mla : Machine learning and data mining in pattern recognition : first international workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999, proceedings / Petra Perner, Maria Petrou (eds.)     
      Machine learning and data mining in pattern recognition : first international workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999, proceedings / Petra Perner, Maria Petrou (eds.) W'PONDS  Book 1999
006.31 Pri/Mlp : Machine learning : proceedings of the Twelfth International Conference on Machine Learning : Tahoe City, California, July 9-12, 1995 / edited by Armand Prieditis and Stuart Russell     
      Machine learning : proceedings of the Twelfth International Conference on Machine Learning : Tahoe City, California, July 9-12, 1995 / edited by Armand Prieditis and Stuart Russell W'PONDS  Book 1995
006.31 Qui/Cfp : C4.5 : programs for machine learning / J. Ross Quinlan     
      C4.5 : programs for machine learning / J. Ross Quinlan W'PONDS  Book 1993
006.31 Ram/Gdl : Goal-driven learning / edited by Ashwin Ram and David B. Leake     
      Goal-driven learning / edited by Ashwin Ram and David B. Leake W'PONDS  Book 1995
006.31 Ram/Mle : Machine learning : ECML 2000 : 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31-June 2, 2000 / Ramon López de Mántaras, Enric Plaza (eds.)     
      Machine learning : ECML 2000 : 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31-June 2, 2000 / Ramon López de Mántaras, Enric Plaza (eds.) W'PONDS  Book 2000
006.31 Sai/Mlp 1996 : Machine learning : proceedings of the thirteenth international conference (ICML '96) : Bari, Italy, July 3-6, 1996 / edited by Lorenza Saitta     
      Machine learning : proceedings of the thirteenth international conference (ICML '96) : Bari, Italy, July 3-6, 1996 / edited by Lorenza Saitta W'PONDS  Book 1996
006.31 Sch/Dds    
      Doing data science / Rachel Schutt and Cathy O'Neil MELB, W'PONDS   Book 2013
      Doing data science / Rachel Schutt and Cathy O'Neil MELB, W'PONDS   Book 2013
      Doing data science / Rachel Schutt and Cathy O'Neil MELB, W'PONDS   Book 2013
      Doing data science / Rachel Schutt and Cathy O'Neil MELB, W'PONDS   Book 2013
2 additional entries    
006.31 Sha/Kmf : Kernel methods for pattern analysis / John Shawe-Taylor, Nello Cristianini     
      Kernel methods for pattern analysis / John Shawe-Taylor, Nello Cristianini MELB  Book 2004
006.31 Sha/Nnm : Nearest-neighbor methods in learning and vision : theory and practice / edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk     
      Nearest-neighbor methods in learning and vision : theory and practice / edited by Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk MELB  Book 2006
006.31 Sha/Rim : Readings in machine learning / edited by Jude W. Shavlik and Thomas G. Dietterich     
      Readings in machine learning / edited by Jude W. Shavlik and Thomas G. Dietterich W'PONDS  Book 1990
006.31 Smi/Cdp    
      Cross-disciplinary perspectives on the algorithm selection problem recent advances and emerging opportunities / by Kate A. Smith-Miles W'PONDS, WATERFT ADPML   Book 2007
      Cross-disciplinary perspectives on the algorithm selection problem recent advances and emerging opportunities / by Kate A. Smith-Miles W'PONDS, WATERFT ADPML   Book 2007
006.31 Smi/Gml    
      Generalising meta-learning concepts for algorithm selection : from machine learning to optimization / Kate A. Smith-Miles W'PONDS, WATERFT ADPML   Book 2007
      Generalising meta-learning concepts for algorithm selection : from machine learning to optimization / Kate A. Smith-Miles W'PONDS, WATERFT ADPML   Book 2007
006.31 Smi/Lph    
      Learning the performance of heuristics for the QAP based on search space characteristics / by Kate Smith-Miles W'PONDS, WATERFT ADPML   Book 2007
      Learning the performance of heuristics for the QAP based on search space characteristics / by Kate Smith-Miles W'PONDS, WATERFT ADPML   Book 2007
006.31 Smo/Ail : Advances in large margin classifiers / edited by Alexander J. Smola ... [and others]     
      Advances in large margin classifiers / edited by Alexander J. Smola ... [and others] W'PONDS  Book 2000
006.31 Som/Mlw : Machine learning with SVM and othe kernel methods / K. P. Soman, R. Loganathan, V. Ajay     
      Machine learning with SVM and othe kernel methods / K. P. Soman, R. Loganathan, V. Ajay W'PONDS  Book 2009
006.31 Spe/Aqc : Automatic quantum computer programming : a genetic programming approach / Lee Spector     
      Automatic quantum computer programming : a genetic programming approach / Lee Spector W'PONDS  Book 2004
006.31 Sta/Git    
      A gentle introduction to support vector machines in biomedicine / Alexander Statnikov, Constantin F. Aliferis, Douglas P. Hardin, Isabelle Guyon W'PONDS  Book 2011
      A gentle introduction to support vector machines in biomedicine / Alexander Statnikov, Constantin F. Aliferis, Douglas P. Hardin, Isabelle Guyon W'PONDS  Book 2011
006.31 Ste/Svm : Support vector machines / Ingo Steinwart, Andreas Christmann     
      Support vector machines / Ingo Steinwart, Andreas Christmann W'PONDS  Book 2008
006.31 Sut/Rla    
      Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto MELB, W'PONDS   Book 1998
      Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto MELB, W'PONDS   Book 1998
006.31 Sut/Rla 2018    
      Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto W'PONDS  Book 2018
      Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto W'PONDS  Book 2018
006.31 Suy/Lss : Least squares support vector machines / Johan A.K. Suykens ... [and others]     
      Least squares support vector machines / Johan A.K. Suykens ... [and others] MELB  Book 2002
006.31 Tho/Tft : Truth from trash : how learning makes sense / Chris Thornton     
      Truth from trash : how learning makes sense / Chris Thornton W'PONDS  Book 2000
006.31 Thr/Ltl : Learning to learn / edited by Sebastian Thrun and Lorien Pratt     
      Learning to learn / edited by Sebastian Thrun and Lorien Pratt W'PONDS  Book 1998
006.31 Tin/Cso : A comparative study of cost-sensitive boosting algorithms / K. M. Ting     
      A comparative study of cost-sensitive boosting algorithms / K. M. Ting WATERFT ADPML  Book 2000
006.31 Tin/Eso : An empirical study of metacost using boosting algorithms / K. M. Ting     
      An empirical study of metacost using boosting algorithms / K. M. Ting WATERFT ADPML  Book 2000
006.31 Tin/Itp : Improving the performance of boosting for naive Bayesian classification / Kai Ming Ting and Zijian Zheng     
      Improving the performance of boosting for naive Bayesian classification / Kai Ming Ting and Zijian Zheng WATERFT ADPML  Book 1999
006.31 Tsa/Mli : Machine learning in cyber trust : security, privacy, and reliability / edited by Jeffrey J.P. Tsai, Philip S. Yu     
      Machine learning in cyber trust : security, privacy, and reliability / edited by Jeffrey J.P. Tsai, Philip S. Yu MELB  Book 2009
006.31 Tua/Edr : Efficient dimensionality reduction and one-class classification for content-based image retrieval / by Yiqing Tu     
      Efficient dimensionality reduction and one-class classification for content-based image retrieval / by Yiqing Tu MELB THESES  Book 2009
006.31 Tuy/Cdw : Causal discovery with JMMLCI / Yiqing Tu, Gang Li and Honghua Dai     
      Causal discovery with JMMLCI / Yiqing Tu, Gang Li and Honghua Dai WATERFT ADPML  Book 2002
006.31 Tuy/Uda : Unsupervised discretization algorithm based on mixture probabilistic models / Yiqung Tu, Gang Li and Fu Tong     
      Unsupervised discretization algorithm based on mixture probabilistic models / Yiqung Tu, Gang Li and Fu Tong WATERFT ADPML  Book 2002
006.31 Vap/Slt : Statistical learning theory / Vladimir N. Vapnik     
      Statistical learning theory / Vladimir N. Vapnik W'PONDS  Book 1998
006.31 Vid/lag 2002 : Learning and generalisation : with applications to neural networks / M. Vidyasagar     
      Learning and generalisation : with applications to neural networks / M. Vidyasagar W'PONDS  Book 2003
006.31 Web/And : Accommodating noise during induction by generalization / Geoffrey I. Webb     
      Accommodating noise during induction by generalization / Geoffrey I. Webb WATERFT ADPML  Book 1992
006.31 Web/Css : Cost-sensitive specialization / Geoffrey I. Webb     
      Cost-sensitive specialization / Geoffrey I. Webb WATERFT ADPML  Book 1996
006.31 Web/Ddi : Data-driven inductive knowledge-base refinement / Geoffrey I. Webb     
      Data-driven inductive knowledge-base refinement / Geoffrey I. Webb WATERFT ADPML  Book 1992
006.31 Web/Gim : Generality is more significant than complexity : toward an alternative to Occam's razor / Geoffrey I. Webb     
      Generality is more significant than complexity : toward an alternative to Occam's razor / Geoffrey I. Webb WATERFT ADPML  Book 1994
006.31 Web/Imo : Idealized models of decision committee performance and their application to reduce committee error / Webb, Geoffrey I     
      Idealized models of decision committee performance and their application to reduce committee error / Webb, Geoffrey I WATERFT ADPML  Book 1998
006.31 Web/Ior : Is Occam's razor disposable? : in support of learning biases based on semantics rather than syntax / Geoffrey I. Webb     
      Is Occam's razor disposable? : in support of learning biases based on semantics rather than syntax / Geoffrey I. Webb WATERFT ADPML  Book 1995
006.31 Web/Ldc : Learning disjunctive characteristic descriptions by least generalization / Geoffrey I. Webb     
      Learning disjunctive characteristic descriptions by least generalization / Geoffrey I. Webb WATERFT ADPML  Book 1991
006.31 Web/Ldl : Learning decision lists by prepending inferred rules / Geoffrey I. Webb     
      Learning decision lists by prepending inferred rules / Geoffrey I. Webb WATERFT ADPML  Book 1994
006.31 Web/Lga : The least generalization algorithm / Geoffrey I. Webb     
      The least generalization algorithm / Geoffrey I. Webb WATERFT ADPML  Book 1993
Add Marked to Bag Add All On Page Add Marked to My Lists
Result Page   Prev Next
Brief Display Limit/Sort Search