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AAAI
1997
15 years 8 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht
CORR
2010
Springer
138views Education» more  CORR 2010»
15 years 6 months ago
Optimal Path Planning under Temporal Logic Constraints
Abstract-- In this paper we present a method for automatically generating optimal robot trajectories satisfying high level mission specifications. The motion of the robot in the en...
Stephen L. Smith, Jana Tumova, Calin Belta, Daniel...
CANS
2009
Springer
120views Cryptology» more  CANS 2009»
16 years 1 months ago
Improved Garbled Circuit Building Blocks and Applications to Auctions and Computing Minima
Abstract. We consider generic Garbled Circuit (GC)-based techniques for Secure Function Evaluation (SFE) in the semi-honest model. We describe efficient GC constructions for additi...
Vladimir Kolesnikov, Ahmad-Reza Sadeghi, Thomas Sc...
ICONIP
2008
15 years 8 months ago
Frost Prediction Characteristics and Classification Using Computational Neural Networks
The effect of frost on the successful growth and quality of crops is well understood by growers as leading potentially to total harvest failure. Studying the frost phenomenon, espe...
Philip Sallis, Mary Carmen Jarur Muñoz, Mar...
TKDE
2011
176views more  TKDE 2011»
15 years 1 months ago
Experience Transfer for the Configuration Tuning in Large-Scale Computing Systems
—This paper proposes a new strategy, the experience transfer, to facilitate the management of large-scale computing systems. It deals with the utilization of management experienc...
Haifeng Chen, Wenxuan Zhang, Guofei Jiang