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.
[abs][pdf]
- 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.
[abs][pdf]
- Compression-Based Averaging of Selective Naive Bayes Classifiers
- Marc Boullé; 8(Jul):1659--1685, 2007.
[abs][pdf]
- VC Theory of Large Margin Multi-Category Classifiers
- Yann Guermeur; 8(Nov):2551--2594, 2007.
[abs][pdf]
- A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning
- Carine Hue, Marc Boullé; 8(Dec):2727--2754, 2007.
[abs][pdf]
- An Information Criterion for Variable Selection in Support Vector Machines
- Gerda Claeskens, Christophe Croux, Johan Van Kerckhoven; 9(Mar):541--558, 2008.
[abs][pdf]
- Multi-class Discriminant Kernel Learning via Convex Programming
- Jieping Ye, Shuiwang Ji, Jianhui Chen; 9(Apr):719--758, 2008.
[abs][pdf]
- Model Selection in Kernel Based Regression using the Influence Function
- Michiel Debruyne, Mia Hubert, Johan A.K. Suykens; 9(Oct):2377--2400, 2008.
[abs][pdf]
- Model Selection for Regression with Continuous Kernel Functions Using the Modulus of Continuity
- Imhoi Koo, Rhee Man Kil; 9(Nov):2607--2633, 2008.
[abs][pdf]
- Particle Swarm Model Selection
- Hugo Jair Escalante, Manuel Montes, Luis Enrique Sucar; 10(Feb):405--440, 2009.
[abs][pdf]
- Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination
- Eugene Tuv, Alexander Borisov, George Runger, Kari Torkkola; 10(Jul):1341--1366, 2009.
[abs][pdf]
- 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.
[abs][pdf]
Related JMLR Papers:
- Extensions to Metric-Based Model Selection
- Yoshua Bengio, Nicolas Chapados; 3(Mar):1209−1227, 2003.
[abs][pdf]
- A Compression Approach to Support Vector Model Selection
- Ulrike von Luxburg, Olivier Bousquet, Bernhard Schölkopf; 5(Apr):293−323, 2004.
[abs][pdf]
- Asymptotic Model Selection for Naive Bayesian Networks
- Dmitry Rusakov, Dan Geiger; 6(Jan):1−35, 2005.
[abs][pdf]