Computer and Information Sciences
暂无分享,去创建一个
[1] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[2] Usama M. Fayyad,et al. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning , 1993, IJCAI.
[3] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[4] Gilbert Laporte,et al. Examination Timetabling: Algorithmic Strategies and Applications , 1994 .
[5] D. Kibler,et al. Instance-based learning algorithms , 2004, Machine Learning.
[6] Arthur Charguéraud,et al. Engineering formal metatheory , 2008, POPL '08.
[7] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[8] Alberto Maria Segre,et al. Programs for Machine Learning , 1994 .
[9] S. Kotsiantis,et al. Discretization Techniques: A recent survey , 2006 .
[10] Michel Gendreau,et al. Hyper-heuristics: a survey of the state of the art , 2013, J. Oper. Res. Soc..
[11] I.N. Bozkurt,et al. Authorship attribution , 2007, 2007 22nd international symposium on computer and information sciences.
[12] Pat Langley,et al. Estimating Continuous Distributions in Bayesian Classifiers , 1995, UAI.
[13] Sanja Petrovic,et al. HyFlex: A Benchmark Framework for Cross-Domain Heuristic Search , 2011, EvoCOP.
[14] Ian H. Witten,et al. Generating Accurate Rule Sets Without Global Optimization , 1998, ICML.
[15] Ender Özcan,et al. An iterated multi-stage selection hyper-heuristic , 2016, Eur. J. Oper. Res..
[16] Katarzyna Harezlak,et al. On Approaches to Discretization of Datasets Used for Evaluation of Decision Systems , 2016 .
[17] Ashwin Srinivasan,et al. Theories for Mutagenicity: A Study in First-Order and Feature-Based Induction , 1996, Artif. Intell..
[18] Graham Kendall,et al. A Hyperheuristic Approach to Scheduling a Sales Summit , 2000, PATAT.
[19] Jean-Yves Le Boudec,et al. New Models for Pseudo Self-Similar Traffic , 1997, Perform. Evaluation.
[20] P. Medawar. A view from the left , 1984, Nature.
[21] Urszula Stanczyk,et al. Ranking of characteristic features in combined wrapper approaches to selection , 2014, Neural Computing and Applications.
[22] Ender Özcan,et al. A comprehensive analysis of hyper-heuristics , 2008, Intell. Data Anal..
[23] Ender Özcan,et al. An Experimental Study on Hyper-heuristics and Exam Timetabling , 2006, PATAT.
[24] Sergei Soloviev,et al. Inductive Type Schemas as Functors , 2006, CSR.
[25] Igor Kononenko,et al. On Biases in Estimating Multi-Valued Attributes , 1995, IJCAI.
[26] Grzegorz Baron,et al. Influence of Data Discretization on Efficiency of Bayesian Classifier for Authorship Attribution , 2014, KES.
[27] Shlomo Argamon,et al. Computational methods in authorship attribution , 2009, J. Assoc. Inf. Sci. Technol..
[28] Ashwin Srinivasan,et al. The Predictive Toxicology Evaluation Challenge , 1997, IJCAI.
[29] Ender Özcan,et al. A tensor-based selection hyper-heuristic for cross-domain heuristic search , 2015, Inf. Sci..
[30] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[31] Urszula Stanczyk. Establishing Relevance of Characteristic Features for Authorship Attribution with ANN , 2013, DEXA.
[32] Conor McBride,et al. Functional pearl: i am not a number--i am a free variable , 2004, Haskell '04.