Journals in DBLP

Machine Learning
2002, volume: 48, number: 1-3

1. Yoshua Bengio, Dale Schuurmans
   Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:48, n:1-3, pp:5-7 [Journal]
   
2. Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio
   Model Selection for Small Sample Regression. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:48, n:1-3, pp:9-23 [Journal]
   
3. Masashi Sugiyama, Hidemitsu Ogawa
   Theoretical and Experimental Evaluation of the Subspace Information Criterion. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:48, n:1-3, pp:25-50 [Journal]
   
4. Dale Schuurmans, Finnegan Southey
   Metric-Based Methods for Adaptive Model Selection and Regularization. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:48, n:1-3, pp:51-84 [Journal]
   
5. Peter L. Bartlett, Stéphane Boucheron, Gábor Lugosi
   Model Selection and Error Estimation. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:48, n:1-3, pp:85-113 [Journal]
   
6. Yi Lin, Grace Wahba, Hao Zhang, Yoonkyung Lee
   Statistical Properties and Adaptive Tuning of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:48, n:1-3, pp:115-136 [Journal]
   
7. Steve R. Gunn, Jaz S. Kandola
   Structural Modelling with Sparse Kernels. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:48, n:1-3, pp:137-163 [Journal]
   
8. Pascal Vincent, Yoshua Bengio
   Kernel Matching Pursuit. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:48, n:1-3, pp:165-187 [Journal]
   
9. Gunnar Rätsch, Ayhan Demiriz, Kristin P. Bennett
   Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces. [Citation Graph (0, 0)][DBLP]
   Machine Learning, 2002, v:48, n:1-3, pp:189-218 [Journal]
   
10. Shie Mannor, Ron Meir
    On the Existence of Linear Weak Learners and Applications to Boosting. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:48, n:1-3, pp:219-251 [Journal]
    
11. Michael Collins, Robert E. Schapire, Yoram Singer
    Logistic Regression, AdaBoost and Bregman Distances. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:48, n:1-3, pp:253-285 [Journal]
    
12. Tom Bylander
    Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:48, n:1-3, pp:287-297 [Journal]
    
13. Hugh A. Chipman, Edward I. George, Robert E. McCulloch
    Bayesian Treed Models. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:48, n:1-3, pp:299-320 [Journal]
    
14. Ofer Melnik
    Decision Region Connectivity Analysis: A Method for Analyzing High-Dimensional Classifiers. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:48, n:1-3, pp:321-351 [Journal]