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» Learning programs from noisy data
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102
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ICML
2007
IEEE
16 years 3 months ago
Multiclass multiple kernel learning
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
Alexander Zien, Cheng Soon Ong
ACMSE
2010
ACM
14 years 9 months ago
Learning to rank using 1-norm regularization and convex hull reduction
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins
120
Voted
CPAIOR
2009
Springer
15 years 9 months ago
Learning How to Propagate Using Random Probing
Abstract. In constraint programming there are often many choices regarding the propagation method to be used on the constraints of a problem. However, simple constraint solvers usu...
Efstathios Stamatatos, Kostas Stergiou
126
Voted
DIS
2005
Springer
15 years 8 months ago
Support Vector Inductive Logic Programming
Abstract. In this paper we explore a topic which is at the intersection of two areas of Machine Learning: namely Support Vector Machines (SVMs) and Inductive Logic Programming (ILP...
Stephen Muggleton, Huma Lodhi, Ata Amini, Michael ...
105
Voted
CIBCB
2006
IEEE
15 years 8 months ago
Motif Evaluation by Leave-one-out Scoring
Abstract— We propose a new method for collecting information on regulatory elements found by any motif discovery program. We suggest that combining the results of n leave-oneout ...
Audrey Girouard, Noah W. Smith, Donna K. Slonim