Ranking forests
暂无分享,去创建一个
[1] Jeff A. Bilmes,et al. Consensus ranking under the exponential model , 2007, UAI.
[2] Alain Rakotomamonjy,et al. Optimizing Area Under Roc Curve with SVMs , 2004, ROCAI.
[3] James P. Egan,et al. Signal detection theory and ROC analysis , 1975 .
[4] Stéphan Clémençon,et al. Overlaying classifiers: a practical approach for optimal ranking , 2008, NIPS.
[5] John D. Lafferty,et al. Conditional Models on the Ranking Poset , 2002, NIPS.
[6] R. Tibshirani,et al. Generalized additive models for medical research , 1986, Statistical methods in medical research.
[7] Walid G. Aref,et al. Joining Ranked Inputs in Practice , 2002, VLDB.
[8] Joseph S. Verducci,et al. Probability Models and Statistical Analyses for Ranking Data , 1992 .
[9] Stéphan Clémençon,et al. Bagging Ranking Trees , 2009, 2009 International Conference on Machine Learning and Applications.
[10] S. Shapiro,et al. Mathematics without Numbers , 1993 .
[11] J. Hilbe. Logistic Regression Models , 2009 .
[12] Yoram Singer,et al. Learning to Order Things , 1997, NIPS.
[13] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[14] Dan Roth,et al. Generalization Bounds for the Area Under the ROC Curve , 2005, J. Mach. Learn. Res..
[15] James C. Spall,et al. Introduction to Stochastic Search and Optimization. Estimation, Simulation, and Control (Spall, J.C. , 2007 .
[16] Ronald Fagin,et al. Comparing Partial Rankings , 2006, SIAM J. Discret. Math..
[17] Thorsten Joachims,et al. Optimizing search engines using clickthrough data , 2002, KDD.
[18] Stéphan Clémençon,et al. Tree-structured ranking rules and approximation of the optimal ROC curve , 2008 .
[19] Ronald Fagin,et al. Comparing and aggregating rankings with ties , 2004, PODS '04.
[20] Stéphan Clémençon,et al. AUC optimization and the two-sample problem , 2009, NIPS.
[21] Elena Deza,et al. Encyclopedia of Distances , 2014 .
[22] Pierre Bernard,et al. Lectures on Probability Theory and Statistics: Ecole d'Ete de Probabilites de Saint-Flour XXVI - 1996 , 1997 .
[23] E. Giné,et al. Decoupling: From Dependence to Independence , 1998 .
[24] Olivier Hudry,et al. NP-hardness results for the aggregation of linear orders into median orders , 2008, Ann. Oper. Res..
[25] J. Friedman,et al. On bagging and nonlinear estimation , 2007 .
[26] M. Kendall. The treatment of ties in ranking problems. , 1945, Biometrika.
[27] Jean-Philippe Vert,et al. Consistency of Random Forests , 2014, 1405.2881.
[28] T. Salakoski,et al. Learning to Rank with Pairwise Regularized Least-Squares , 2007 .
[29] Marina Meila,et al. Tractable Search for Learning Exponential Models of Rankings , 2009, AISTATS.
[30] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[31] Bernard Monjardet,et al. The median procedure in cluster analysis and social choice theory , 1981, Math. Soc. Sci..
[32] Eric Horvitz,et al. Social Choice Theory and Recommender Systems: Analysis of the Axiomatic Foundations of Collaborative Filtering , 2000, AAAI/IAAI.
[33] Yoshiko Wakabayashi. The Complexity of Computing Medians of Relations , 1998 .
[34] G. Lugosi,et al. Ranking and empirical minimization of U-statistics , 2006, math/0603123.
[35] Janis E. Johnston,et al. Permutation methods , 2001 .
[36] N. Vayatis,et al. Overlaying Classifiers: A Practical Approach to Optimal Scoring , 2010 .
[37] P. Fishburn. The Theory Of Social Choice , 1973 .
[38] David Fernández-Baca,et al. Computing distances between partial rankings , 2009, Inf. Process. Lett..
[39] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[40] Stéphan Clémençon,et al. Tree-Based Ranking Methods , 2009, IEEE Transactions on Information Theory.
[41] Michael R. Fellows,et al. Computing Kemeny rankings, parameterized by the average K-T distance , 2008 .
[42] A. V. D. Vaart,et al. Lectures on probability theory and statistics , 2002 .
[43] Stéphan Clémençon,et al. Adaptive partitioning schemes for bipartite ranking , 2011, Machine Learning.
[44] Nicolas Vayatis,et al. R-implementation of the TreeRank algorithm , 2009 .
[45] Peter A. Flach,et al. Learning Decision Trees Using the Area Under the ROC Curve , 2002, ICML.
[46] R. Dudley,et al. Uniform Central Limit Theorems: Notation Index , 2014 .
[47] Gregory N. Hullender,et al. Learning to rank using gradient descent , 2005, ICML.
[48] Robert P. Sheridan,et al. Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling , 2003, J. Chem. Inf. Comput. Sci..
[49] Yali Amit,et al. Shape Quantization and Recognition with Randomized Trees , 1997, Neural Computation.
[50] Sylvain Arlot. Model selection by resampling penalization , 2007, 0906.3124.
[51] P. Diaconis. A Generalization of Spectral Analysis with Application to Ranked Data , 1989 .
[52] Ramón Díaz-Uriarte,et al. Gene selection and classification of microarray data using random forest , 2006, BMC Bioinformatics.
[53] Moni Naor,et al. Rank aggregation methods for the Web , 2001, WWW '01.
[54] A. O. Houcine. On hyperbolic groups , 2006 .
[55] Yoram Singer,et al. An Efficient Boosting Algorithm for Combining Preferences by , 2013 .
[56] Irène Charon,et al. Lamarckian genetic algorithmsapplied to the aggregation of preferences , 1998, Ann. Oper. Res..
[57] Eyke Hüllermeier,et al. Label ranking by learning pairwise preferences , 2008, Artif. Intell..
[58] Rafael Martí,et al. Intensification and diversification with elite tabu search solutions for the linear ordering problem , 1999, Comput. Oper. Res..
[59] James C. Spall,et al. Introduction to stochastic search and optimization - estimation, simulation, and control , 2003, Wiley-Interscience series in discrete mathematics and optimization.
[60] Stéphan Clémençon,et al. Ranking the Best Instances , 2006, J. Mach. Learn. Res..
[61] Yves Grandvalet,et al. Bagging Equalizes Influence , 2004, Machine Learning.
[62] Luc Devroye,et al. Consistency of Random Forests and Other Averaging Classifiers , 2008, J. Mach. Learn. Res..
[63] Gábor Lugosi,et al. Ranking and Scoring Using Empirical Risk Minimization , 2005, COLT.
[64] Tim Hesterberg,et al. Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control , 2004, Technometrics.