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STOC
2006
ACM
170views Algorithms» more  STOC 2006»
16 years 6 months ago
Hardness of approximate two-level logic minimization and PAC learning with membership queries
Producing a small DNF expression consistent with given data is a classical problem in computer science that occurs in a number of forms and has numerous applications. We consider ...
Vitaly Feldman
ICRA
2008
IEEE
113views Robotics» more  ICRA 2008»
16 years 28 days ago
Reinforcement learning with function approximation for cooperative navigation tasks
— In this paper, we propose a reinforcement learning approach to address multi-robot cooperative navigation tasks in infinite settings. We propose an algorithm to simultaneously...
Francisco S. Melo, M. Isabel Ribeiro
PPSN
2004
Springer
15 years 11 months ago
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models
Abstract. The paper describes an evolutionary algorithm for the general nonlinear programming problem using a surrogate model. Surrogate models are used in optimization when model ...
Thomas Philip Runarsson
ICALP
2010
Springer
15 years 11 months ago
On Approximate Horn Formula Minimization
The minimization problem for Horn formulas is to find a Horn formula equivalent to a given Horn formula, using a minimum number of clauses. A 2log1−ǫ (n) -inapproximability re...
Amitava Bhattacharya, Bhaskar DasGupta, Dhruv Muba...
SAC
2005
ACM
16 years 1 days ago
Performance evaluation for text processing of noisy inputs
We investigate the problem of evaluating the performance of text processing algorithms on inputs that contain errors as a result of optical character recognition. A new hierarchic...
Daniel P. Lopresti