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ICTAC
2005
Springer
13 years 10 months ago
Maximum Marking Problems with Accumulative Weight Functions
We present a new derivation of eļ¬ƒcient algorithms for a class of optimization problems called maximum marking problems. We extend the class of weight functions used in the speciļ...
Isao Sasano, Mizuhito Ogawa, Zhenjiang Hu
AIPS
2006
13 years 6 months ago
Optimal STRIPS Planning by Maximum Satisfiability and Accumulative Learning
Planning as satisfiability (SAT-Plan) is one of the best approaches to optimal planning, which has been shown effective on problems in many different domains. However, the potenti...
Zhao Xing, Yixin Chen, Weixiong Zhang
SNPD
2003
13 years 6 months ago
List Homomorphism with Accumulation
This paper introduces accumulation into list homomorphisms for systematic development of both efļ¬cient and correct parallel programs. New parallelizable recursive pattern called...
Kazuhiko Kakehi, Zhenjiang Hu, Masato Takeichi
AAIM
2007
Springer
188views Algorithms» more  AAIM 2007»
13 years 11 months ago
Approximation Algorithms for the Graph Orientation Minimizing the Maximum Weighted Outdegree
Given an undirected graph G = (V, E) and a weight function w : E ā†’ Z+ , we consider the problem of orienting all edges in E so that the maximum weighted outdegree among all verti...
Yuichi Asahiro, Jesper Jansson, Eiji Miyano, Hirot...
CORR
2010
Springer
152views Education» more  CORR 2010»
12 years 12 months ago
Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards
In the classic multi-armed bandits problem, the goal is to have a policy for dynamically operating arms that each yield stochastic rewards with unknown means. The key metric of int...
Yi Gai, Bhaskar Krishnamachari, Rahul Jain