JMLR Special Topic on Model Selection

These papers were reprinted as a book (free PDF available). Papers appearing in the special topic:

Model Selection: Beyond the Bayesian/Frequentist Divide
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin Cawley; 11(Jan):61--87, 2010.

Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters
Gavin C. Cawley, Nicola L. C. Talbot; 8(Apr):841--861, 2007.

Compression-Based Averaging of Selective Naive Bayes Classifiers
Marc Boullé; 8(Jul):1659--1685, 2007.

VC Theory of Large Margin Multi-Category Classifiers
Yann Guermeur; 8(Nov):2551--2594, 2007.

A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning
Carine Hue, Marc Boullé; 8(Dec):2727--2754, 2007.

An Information Criterion for Variable Selection in Support Vector Machines
Gerda Claeskens, Christophe Croux, Johan Van Kerckhoven; 9(Mar):541--558, 2008.

Multi-class Discriminant Kernel Learning via Convex Programming
Jieping Ye, Shuiwang Ji, Jianhui Chen; 9(Apr):719--758, 2008.

Model Selection in Kernel Based Regression using the Influence Function
Michiel Debruyne, Mia Hubert, Johan A.K. Suykens; 9(Oct):2377--2400, 2008.

Model Selection for Regression with Continuous Kernel Functions Using the Modulus of Continuity
Imhoi Koo, Rhee Man Kil; 9(Nov):2607--2633, 2008.

Particle Swarm Model Selection
Hugo Jair Escalante, Manuel Montes, Luis Enrique Sucar; 10(Feb):405--440, 2009.

Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination
Eugene Tuv, Alexander Borisov, George Runger, Kari Torkkola; 10(Jul):1341--1366, 2009.

On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Gavin C. Cawley, Nicola L. C. Talbot; 11(Jul):2079−2107, 2010.

Related JMLR Papers:

Extensions to Metric-Based Model Selection
Yoshua Bengio, Nicolas Chapados; 3(Mar):1209−1227, 2003.

A Compression Approach to Support Vector Model Selection
Ulrike von Luxburg, Olivier Bousquet, Bernhard Schölkopf; 5(Apr):293−323, 2004.

Asymptotic Model Selection for Naive Bayesian Networks
Dmitry Rusakov, Dan Geiger; 6(Jan):1−35, 2005.

On Model Selection Consistency of Lasso
Peng Zhao, Bin Yu; 7(Nov):2541−2563, 2006.

Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont; 9(Mar):485−516, 2008.

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