Statistical Learning
4,564 papers
Papers per year
2
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35
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70
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85
113
128
110
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162
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399
445
487
621
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Papers
Learning Probabilistic Models: An Expected Utility Maximization Approach
JMLR 2003
Overfitting in Making Comparisons Between Variable Selection Methods
JMLR 2003
Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions
JMLR 2003
Ranking a Random Feature for Variable and Feature Selection
JMLR 2003
Kernel Independent Component Analysis
JMLR 2002
Machine Learning with Data Dependent Hypothesis Classes
JMLR 2002
On Using Extended Statistical Queries to Avoid Membership Queries
JMLR 2002
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
JMLR 2002
Stability and Generalization
JMLR 2002
The Learning-Curve Sampling Method Applied to Model-Based Clustering
JMLR 2002
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
JMLR 2002
Using Confidence Bounds for Exploitation-Exploration Trade-offs
JMLR 2002
Classes of Kernels for Machine Learning: A Statistics Perspective
JMLR 2001
On the Size of Convex Hulls of Small Sets
JMLR 2001