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ECML
2006
Springer
13 years 11 months ago
Improving Control-Knowledge Acquisition for Planning by Active Learning
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
Raquel Fuentetaja, Daniel Borrajo
FCT
1991
Springer
13 years 11 months ago
Lattice Basis Reduction: Improved Practical Algorithms and Solving Subset Sum Problems
We report on improved practical algorithms for lattice basis reduction. We propose a practical oating point version of the L3{algorithm of Lenstra, Lenstra, Lovasz (1982). We pres...
Claus-Peter Schnorr, M. Euchner
SODA
2000
ACM
85views Algorithms» more  SODA 2000»
13 years 9 months ago
Improved bounds on the sample complexity of learning
We present a new general upper bound on the number of examples required to estimate all of the expectations of a set of random variables uniformly well. The quality of the estimat...
Yi Li, Philip M. Long, Aravind Srinivasan
AAAI
1996
13 years 9 months ago
A Graph-Based Method for Improving GSAT
GSAT is a randomized greedy local repair procedure that was introduced for solving propositional satis ability and constraint satisfaction problems. We present an improvement to G...
Kalev Kask, Rina Dechter
ICCV
2005
IEEE
14 years 10 months ago
Improved Sub-pixel Stereo Correspondences through Symmetric Refinement
Most dense stereo correspondence algorithms start by establishing discrete pixel matches and later refine these matches to sub-pixel precision. Traditional sub-pixel refinement me...
Diego Nehab, Szymon Rusinkiewicz, James Davis