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SODA
2008
ACM
101views Algorithms» more  SODA 2008»
13 years 11 months ago
Adaptive local ratio
Local ratio is a well-known paradigm for designing approximation algorithms for combinatorial optimization problems. At a very high level, a local-ratio algorithm first decomposes ...
Julián Mestre
AAAI
2006
13 years 11 months ago
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Shimon Whiteson, Peter Stone
PUK
2001
13 years 11 months ago
Realizing a Global Hyperpolyhedron Constraint via LP Techniques
Combination of AI/OR methods is gaining a great deal of attention because many combinatorial problems especially in planning and scheduling areas can be solved by means of combined...
Miguel A. Salido, Adriana Giret, Federico Barber
C3S2E
2010
ACM
13 years 11 months ago
Scalable formula decomposition for propositional satisfiability
Propositional satisfiability solving, or SAT, is an important reasoning task arising in numerous applications, such as circuit design, formal verification, planning, scheduling or...
Anthony Monnet, Roger Villemaire
CORR
2010
Springer
74views Education» more  CORR 2010»
13 years 10 months ago
Data Partitioning for Parallel Entity Matching
Entity matching is an important and difficult step for integrating web data. To reduce the typically high execution time for matching we investigate how we can perform entity matc...
Toralf Kirsten, Lars Kolb, Michael Hartung, Anika ...