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Mark   Medium Year
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
006.31 Web/Mat : Multiboosting : a technique for combining boosting and wagging / Geoffrey I. Webb     
      Multiboosting : a technique for combining boosting and wagging / Geoffrey I. Webb WATERFT ADPML  Book 1998
006.31 Web/Oas : OPUS : a systematic search algorithm and its application to categorical attribute-value data-driven machine learning / Geoffrey I. Webb     
      OPUS : a systematic search algorithm and its application to categorical attribute-value data-driven machine learning / Geoffrey I. Webb WATERFT ADPML  Book 1993
006.31 Web/Ssf : Systematic search for categorical attribute-value data-driven machine learning / Geoffrey I. Webb     
      Systematic search for categorical attribute-value data-driven machine learning / Geoffrey I. Webb WATERFT ADPML  Book 1993
006.31 Web/Stf : Search techniques for induction by generalisation / Geoffrey I. Webb     
      Search techniques for induction by generalisation / Geoffrey I. Webb WATERFT ADPML  Book 1992
006.31 Web/Toa    
      Theory optimization : a search heuristic for data-driven machine learning / Geoffrey I. Webb W'PONDS, WATERFT ADPML   Book 1991
      Theory optimization : a search heuristic for data-driven machine learning / Geoffrey I. Webb W'PONDS, WATERFT ADPML   Book 1991
006.31 WEI-C : Computer systems that learn : classification and prediction methods from statistics, neural nets, machine learning, and expert systems / Sholom M. Weiss, Casimir A. Kulikowski     
      Computer systems that learn : classification and prediction methods from statistics, neural nets, machine learning, and expert systems / Sholom M. Weiss, Casimir A. Kulikowski MELB  Book 1991
006.31 Zha/Mla : Machine learning applications in software engineering / Du Zhang [and] Jeffrey J.P. Tsai     
      Machine learning applications in software engineering / Du Zhang [and] Jeffrey J.P. Tsai W'PONDS  Book 2005
006.31 Zhe/Cuc : Classifying unseen cases with many missing values / Zijian Zheng and Boon Toh Low     
      Classifying unseen cases with many missing values / Zijian Zheng and Boon Toh Low WATERFT ADPML  Book 1999
006.31 Zhe/Iba : Integrating, boosting and stochastic attribute selection committees for further improving the performance of decision tree learning / Zheng Zijian, Webb, Geoffrey I. and Ting, Kai Ming     
      Integrating, boosting and stochastic attribute selection committees for further improving the performance of decision tree learning / Zheng Zijian, Webb, Geoffrey I. and Ting, Kai Ming WATERFT ADPML  Book 1998
006.31 Zhe/Lbr : Lazy Bayesian rules / Zijian Zheng and Geoffrey I. Webb     
      Lazy Bayesian rules / Zijian Zheng and Geoffrey I. Webb WATERFT ADPML  Book 1998
006.31 Zhe/Lbt : Lazy Bayesian trees / Zijian Zheng and Geoffrey I. Webb     
      Lazy Bayesian trees / Zijian Zheng and Geoffrey I. Webb WATERFT ADPML  Book 1997
006.31 Zhe/Lsn    
      Lazy Bayesian rules : a lazy semi-naive Bayesian learning technique competitive to boosting decision trees / Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting MELB, WATERFT ADPML   Book 1999
      Lazy Bayesian rules : a lazy semi-naive Bayesian learning technique competitive to boosting decision trees / Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting MELB, WATERFT ADPML   Book 1999
006.31 Zhe/Mba : Multiple boosting : a combination of boosting and bagging / Zheng, Zijian and Webb, Geoffrey     
      Multiple boosting : a combination of boosting and bagging / Zheng, Zijian and Webb, Geoffrey WATERFT ADPML  Book 1998
006.31 Zhe/Sas : Stochastic attribute selection committees / Zheng, Zijian and Webb, Geoffrey     
      Stochastic attribute selection committees / Zheng, Zijian and Webb, Geoffrey WATERFT ADPML  Book 1998
006.3101176 Zij/Sas : Stochastic attribute selection committees with multiple boosting : learning more accurate and more stable classifier committees / Zheng, Zijian & Webb, Geoffrey I     
      Stochastic attribute selection committees with multiple boosting : learning more accurate and more stable classifier committees / Zheng, Zijian & Webb, Geoffrey I WATERFT ADPML  Book 1998
006.31015118 Hut/Ale : Algorithmic learning / Alan Hutchinson     
      Algorithmic learning / Alan Hutchinson W'PONDS  Book 1994
006.3101518 Cuc/Lta : Learning theory : an approximation theory viewpoint / Felipe Cucker, Ding Xuan Zhou     
      Learning theory : an approximation theory viewpoint / Felipe Cucker, Ding Xuan Zhou W'PONDS  Book 2007
006.31015195 Lig/Eea : Encoding, ensemble and accelerating strategies for linear causal model discovery / by Gang Li     
      Encoding, ensemble and accelerating strategies for linear causal model discovery / by Gang Li MELB THESES  Book 2004
006.31015195 Nak/Mla : Machine learning and statistics : the interface / edited by G. Nakhaeizadeh, C.C. Taylor     
      Machine learning and statistics : the interface / edited by G. Nakhaeizadeh, C.C. Taylor W'PONDS  Book 1997
006.312 Abr/Sii : Swarm intelligence in data mining / Ajith Abraham, Crina Grosan, Vitorino Ramos (eds.)     
      Swarm intelligence in data mining / Ajith Abraham, Crina Grosan, Vitorino Ramos (eds.) MELB  Book 2006
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