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129
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AAAI
1996
15 years 1 months ago
A Complexity Analysis of Space-Bounded Learning Algorithms for the Constraint Satisfaction Problem
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
Roberto J. Bayardo Jr., Daniel P. Miranker
97
Voted
NIPS
1993
15 years 1 months ago
The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...
Andrew W. Moore
116
Voted
ECCC
2010
143views more  ECCC 2010»
14 years 9 months ago
Space-Efficient Algorithms for Reachability in Surface-Embedded Graphs
We consider the reachability problem for a certain class of directed acyclic graphs embedded on surfaces. Let G(m, g) be the class of directed acyclic graphs with m = m(n) source ...
Derrick Stolee, N. V. Vinodchandran
ECML
2005
Springer
15 years 6 months ago
A SAT-Based Version Space Algorithm for Acquiring Constraint Satisfaction Problems
Constraint programming is rapidly becoming the technology of choice for modelling and solving complex combinatorial problems. However, users of this technology need significant ex...
Christian Bessière, Remi Coletta, Fré...
GLOBECOM
2007
IEEE
15 years 17 days ago
A Gray-Code Type Bit Assignment Algorithm for Unitary Space-Time Constellations
Abstract— Many techniques for constructing unitary spacetime constellations have been proposed. To minimize bit-error rate (BER) in a wireless communication system, constellation...
Adam Panagos, Kurt L. Kosbar