Learning and evaluating classifiers under sample selection bias
- 2004
- ICML 2004
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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5 results at ICML 2004
Solving large scale linear prediction problems using stochastic gradient descent algorithms
- Tong Zhang
- 2004
- ICML 2004
Entropy-based criterion in categorical clustering
- Tao Li
- Sheng Ma
- et al.
- 2004
- ICML 2004
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
- Hisashi Kashima
- Yuta Tsuboi
- 2004
- ICML 2004
Model selection via the AUC
- Saharon Rosset
- 2004
- ICML 2004