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ORCIDMachine Learning, Volume 72, 2008
Volume 72, Numbers 1-2, August 2008
- Nader H. Bshouty, Claudio Gentile:
Guest Editors' Introduction: Special issue on Learning Theory (COLT-2007). 1-4 - Sudipto Guha, Piotr Indyk, Andrew McGregor:
Sketching information divergences. 5-19 - Eyal Even-Dar, Michael J. Kearns, Yishay Mansour, Jennifer Wortman:
Regret to the best vs. regret to the average. 21-37 - Arnak S. Dalalyan, Alexandre B. Tsybakov:
Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity. 39-61 - John Case, Samuel E. Moelius:
U-shaped, iterative, and iterative-with-counter learning. 63-88 - Maria-Florina Balcan, Avrim Blum, Nathan Srebro:
A theory of learning with similarity functions. 89-112 - Dana Angluin, James Aspnes, Jiang Chen, Lev Reyzin
:
Learning large-alphabet and analog circuits with value injection queries. 113-138 - Maria-Florina Balcan, Nikhil Bansal, Alina Beygelzimer, Don Coppersmith, John Langford, Gregory B. Sorkin:
Robust reductions from ranking to classification. 139-153
Volume 72, Number 3, September 2008
- Walter Daelemans, Bart Goethals, Katharina Morik:
Guest Editors' introduction: special issue of selected papers from ECML PKDD 2008. 155-156 - Christos Dimitrakakis, Michail G. Lagoudakis:
Rollout sampling approximate policy iteration. 157-171 - Ran El-Yaniv, Dmitry Pechyony, Vladimir Vapnik:
Large margin vs. large volume in transductive learning. 173-188 - Ankur Jain, Daniel Nikovski:
Incremental exemplar learning schemes for classification on embedded devices. 189-203 - Krishnamurthy Dvijotham, Soumen Chakrabarti, Subhasis Chaudhuri:
New closed-form bounds on the partition function. 205-229 - Heng Luo, Changyong Niu, Ruimin Shen, Carsten Ullrich:
A collaborative filtering framework based on both local user similarity and global user similarity. 231-245 - Stijn Vanderlooy, Eyke Hüllermeier:
A critical analysis of variants of the AUC. 247-262 - Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola:
Improving maximum margin matrix factorization. 263-276
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