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» Algorithms for Learning Regular Expressions
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COLT
1994
Springer
15 years 5 months ago
Efficient Reinforcement Learning
Realistic domains for learning possess regularities that make it possible to generalize experience across related states. This paper explores an environment-modeling framework tha...
Claude-Nicolas Fiechter
CPAIOR
2007
Springer
15 years 8 months ago
Modeling the Regular Constraint with Integer Programming
Many optimisation problems contain substructures involving constraints on sequences of decision variables. Such constraints can be very complex to express with mixed integer progra...
Marie-Claude Côté, Bernard Gendron, L...
ECCV
2008
Springer
16 years 3 months ago
A Generative Shape Regularization Model for Robust Face Alignment
In this paper, we present a robust face alignment system that is capable of dealing with exaggerating expressions, large occlusions, and a wide variety of image noises. The robustn...
Leon Gu, Takeo Kanade
PLDI
2009
ACM
16 years 2 months ago
A decision procedure for subset constraints over regular languages
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...
Pieter Hooimeijer, Westley Weimer
ICML
2010
IEEE
15 years 2 months ago
A scalable trust-region algorithm with application to mixed-norm regression
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,...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon