Volume 5,
January 2004
Volume 5,
February 2004
Volume 5,
March 2004
Volume 5,
April 2004
- Ulrike von Luxburg, Olivier Bousquet, Bernhard Schölkopf:
A Compression Approach to Support Vector Model Selection.
293-323
Electronic Edition (link) BibTeX
- Shie Mannor, Nahum Shimkin:
A Geometric Approach to Multi-Criterion Reinforcement Learning.
325-360
Electronic Edition (link) BibTeX
- David D. Lewis, Yiming Yang, Tony G. Rose, Fan Li:
RCV1: A New Benchmark Collection for Text Categorization Research.
361-397
Electronic Edition (link) BibTeX
- Michael Quist, Golan Yona:
Distributional Scaling: An Algorithm for Structure-Preserving Embedding of Metric and Nonmetric Spaces.
399-420
Electronic Edition (link) BibTeX
- Nitesh V. Chawla, Lawrence O. Hall, Kevin W. Bowyer, W. Philip Kegelmeyer:
Learning Ensembles from Bites: A Scalable and Accurate Approach.
421-451
Electronic Edition (link) BibTeX
Volume 5,
May 2004
Volume 5,
June 2004
Volume 5,
July 2004
Volume 5,
August 2004
- Jennifer G. Dy, Carla E. Brodley:
Feature Selection for Unsupervised Learning.
845-889
Electronic Edition (link) BibTeX
- Michael Schmitt:
Some Dichotomy Theorems for Neural Learning Problems.
891-912
Electronic Edition (link) BibTeX
- Yixin Chen, James Ze Wang:
Image Categorization by Learning and Reasoning with Regions.
913-939
Electronic Edition (link) BibTeX
- Saharon Rosset, Ji Zhu, Trevor Hastie:
Boosting as a Regularized Path to a Maximum Margin Classifier.
941-973
Electronic Edition (link) BibTeX
- Ting-Fan Wu, Chih-Jen Lin, Ruby C. Weng:
Probability Estimates for Multi-class Classification by Pairwise Coupling.
975-1005
Electronic Edition (link) BibTeX
- Andreas Christmann, Ingo Steinwart:
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition.
1007-1034
Electronic Edition (link) BibTeX
- Corinna Cortes, Patrick Haffner, Mehryar Mohri:
Rational Kernels: Theory and Algorithms.
1035-1062
Electronic Edition (link) BibTeX
- Brian Sallans, Geoffrey E. Hinton:
Reinforcement Learning with Factored States and Actions.
1063-1088
Electronic Edition (link) BibTeX
Volume 5,
September 2004
Volume 5,
Oktober 2004
- Lei Yu, Huan Liu:
Efficient Feature Selection via Analysis of Relevance and Redundancy.
1205-1224
Electronic Edition (link) BibTeX
- Tong Zhang:
Statistical Analysis of Some Multi-Category Large Margin Classification Methods.
1225-1251
Electronic Edition (link) BibTeX
- Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
The Minimum Error Minimax Probability Machine.
1253-1286
Electronic Edition (link) BibTeX
- David Maxwell Chickering, David Heckerman, Christopher Meek:
Large-Sample Learning of Bayesian Networks is NP-Hard.
1287-1330
Electronic Edition (link) BibTeX
- David J. Stracuzzi, Paul E. Utgoff:
Randomized Variable Elimination.
1331-1362
Electronic Edition (link) BibTeX
- Ernesto De Vito, Lorenzo Rosasco, Andrea Caponnetto, Michele Piana, Alessandro Verri:
Some Properties of Regularized Kernel Methods.
1363-1390
Electronic Edition (link) BibTeX
- Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu:
The Entire Regularization Path for the Support Vector Machine.
1391-1415
Electronic Edition (link) BibTeX
Volume 5,
November 2004
Volume 5,
December 2004
Copyright © Sun May 17 00:10:13 2009
by Michael Ley (ley@uni-trier.de)
