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ORCIDMachine Learning, Volume 68, 2007
Volume 68, Number 1, July 2007
- Geoffrey I. Webb
:
Discovering Significant Patterns. 1-33 - Bernard Haasdonk, Hans Burkhardt:
Invariant kernel functions for pattern analysis and machine learning. 35-61 - Ata Kabán:
Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories. 63-95 - Tom Fawcett, Alexandru Niculescu-Mizil:
PAV and the ROC convex hull. 97-106
Volume 68, Number 2, August 2007
- Alexander Schmolck, Richard M. Everson:
Smooth relevance vector machine: a smoothness prior extension of the RVM. 107-135 - Tadeusz Pietraszek:
On the use of ROC analysis for the optimization of abstaining classifiers. 137-169 - Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang:
Structured large margin machines: sensitive to data distributions. 171-200
Volume 68, Number 3, October 2007
- Faming Liang:
Annealing stochastic approximation Monte Carlo algorithm for neural network training. 201-233 - Andrew I. Schein, Lyle H. Ungar:
Active learning for logistic regression: an evaluation. 235-265 - Hsuan-Tien Lin, Chih-Jen Lin, Ruby C. Weng:
A note on Platt's probabilistic outputs for support vector machines. 267-276
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