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132
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FOCS
2007
IEEE
15 years 10 months ago
Maximizing Non-Monotone Submodular Functions
Submodular maximization generalizes many important problems including Max Cut in directed/undirected graphs and hypergraphs, certain constraint satisfaction problems and maximum f...
Uriel Feige, Vahab S. Mirrokni, Jan Vondrák
WIA
2009
Springer
15 years 10 months ago
Implementation of State Elimination Using Heuristics
Abstract. State elimination is an intuitive and easy-to-implement algorithm that computes a regular expression from a finite-state automaton (FA). The size of a regular expression...
Jae-Hee Ahn, Yo-Sub Han
152
Voted
AAAI
2006
15 years 5 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
132
Voted
SIGGRAPH
1993
ACM
15 years 7 months ago
Radiosity algorithms using higher order finite element methods
Many of the current radiosity algorithms create a piecewise constant approximation to the actual radiosity. Through interpolation and extrapolation, a continuous solution is obtai...
Roy Troutman, Nelson L. Max
149
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EWSN
2011
Springer
14 years 7 months ago
An Adaptive Algorithm for Compressive Approximation of Trajectory (AACAT) for Delay Tolerant Networks
Highly efficient compression provides a promising approach to address the transmission and computation challenges imposed by moving object tracking applications on resource constra...
Rajib Kumar Rana, Wen Hu, Tim Wark, Chun Tung Chou