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CSCLP
2005
Springer
15 years 8 months ago
On Generators of Random Quasigroup Problems
Problems that can be sampled randomly are a good source of test suites for comparing quality of constraint satisfaction techniques. Quasigroup problems are representatives of struc...
Roman Barták
STOC
2006
ACM
113views Algorithms» more  STOC 2006»
15 years 8 months ago
Logarithmic hardness of the directed congestion minimization problem
We show that for any constant ε > 0, there is no Ω(log1−ε M)approximation algorithm for the directed congestion minimization problem on networks of size M unless NP ⊆ Z...
Matthew Andrews, Lisa Zhang
SODA
2000
ACM
96views Algorithms» more  SODA 2000»
15 years 3 months ago
Improved Steiner tree approximation in graphs
The Steiner tree problem in weighted graphs seeks a minimum weight connected subgraph containing a given subset of the vertices terminals. We present a new polynomial-time heurist...
Gabriel Robins, Alexander Zelikovsky
121
Voted
STOC
2009
ACM
271views Algorithms» more  STOC 2009»
16 years 3 months ago
A fast and efficient algorithm for low-rank approximation of a matrix
The low-rank matrix approximation problem involves finding of a rank k version of a m ? n matrix AAA, labeled AAAk, such that AAAk is as "close" as possible to the best ...
Nam H. Nguyen, Thong T. Do, Trac D. Tran
ATAL
2005
Springer
15 years 8 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson