1106 search results - page 31 / 222 » On regularization algorithms in learning theory |
259
Voted
PLDI
2009
ACM
16 years 5 months ago
2009
ACM
Reasoning about string variables, in particular program inputs, is an important aspect of many program analyses and testing frameworks. Program inputs invariably arrive as strings...
138
Voted
COLT
2007
Springer
15 years 10 months ago
2007
Springer
Property testing deals with tasks where the goal is to distinguish between the case that an object (e.g., function or graph) has a prespecified property (e.g., the function is li...
142
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
135
Voted
COLT
2006
Springer
15 years 8 months ago
2006
Springer
Abstract. We present a unified and complete account of maximum entropy distribution estimation subject to constraints represented by convex potential functions or, alternatively, b...
182
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CVPR
2008
IEEE
15 years 4 months ago
2008
IEEE
Learning a robust projection with a small number of training samples is still a challenging problem in face recognition, especially when the unseen faces have extreme variation in...