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Publication search results
found 14 matches
- 2009
- Weiwei Cheng, Eyke Hüllermeier:
Combining instance-based learning and logistic regression for multilabel classification. Mach. Learn. 76(2-3): 211-225 (2009) - Ana Luísa Duboc, Aline Paes, Gerson Zaverucha:
Using the bottom clause and mode declarations in FOL theory revision from examples. Mach. Learn. 76(1): 73-107 (2009) - Thomas Gärtner, Shankar Vembu:
On structured output training: hard cases and an efficient alternative. Mach. Learn. 76(2-3): 227-242 (2009) - Thorsten Joachims, Chun-Nam John Yu:
Sparse kernel SVMs via cutting-plane training. Mach. Learn. 76(2-3): 179-193 (2009) - Jeffrey Johns, Marek Petrik, Sridhar Mahadevan:
Hybrid least-squares algorithms for approximate policy evaluation. Mach. Learn. 76(2-3): 243-256 (2009) - Aleksander Kolcz, Dunja Mladenic, Wray L. Buntine, Marko Grobelnik, John Shawe-Taylor:
Guest editors' introduction: Special Issue from ECML PKDD 2009. Mach. Learn. 76(2-3): 175-177 (2009) - Alexander Liu, Goo Jun, Joydeep Ghosh:
A self-training approach to cost sensitive uncertainty sampling. Mach. Learn. 76(2-3): 257-270 (2009) - Dan Roth, Rajhans Samdani:
Learning multi-linear representations of distributions for efficient inference. Mach. Learn. 76(2-3): 195-209 (2009) - Chiaki Sakama, Katsumi Inoue:
Brave induction: a logical framework for learning from incomplete information. Mach. Learn. 76(1): 3-35 (2009) - Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro:
Cost-sensitive learning based on Bregman divergences. Mach. Learn. 76(2-3): 271-285 (2009) - Lucia Specia, Ashwin Srinivasan, Sachindra Joshi, Ganesh Ramakrishnan, Maria das Graças Volpe Nunes:
An investigation into feature construction to assist word sense disambiguation. Mach. Learn. 76(1): 109-136 (2009) - Alireza Tamaddoni-Nezhad, Stephen H. Muggleton:
The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause. Mach. Learn. 76(1): 37-72 (2009) - Hitoshi Yamasaki, Yosuke Sasaki, Takayoshi Shoudai, Tomoyuki Uchida, Yusuke Suzuki:
Learning block-preserving graph patterns and its application to data mining. Mach. Learn. 76(1): 137-173 (2009) - Filip Zelezný, Nada Lavrac:
Guest editors' introduction: Special issue on Inductive Logic Programming (ILP-2008). Mach. Learn. 76(1): 1-2 (2009)
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