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IJCAI
2007
14 years 11 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
JMLR
2010
141views more  JMLR 2010»
14 years 4 months ago
FastInf: An Efficient Approximate Inference Library
The FastInf C++ library is designed to perform memory and time efficient approximate inference in large-scale discrete undirected graphical models. The focus of the library is pro...
Ariel Jaimovich, Ofer Meshi, Ian McGraw, Gal Elida...
APLAS
2007
ACM
15 years 2 months ago
Scalable Simulation of Cellular Signaling Networks
Abstract. Given the combinatorial nature of cellular signalling pathways, where biological agents can bind and modify each other in a large number of ways, concurrent or agent-base...
Vincent Danos, Jérôme Feret, Walter F...
ICCV
2003
IEEE
15 years 12 months ago
Background Modeling and Subtraction of Dynamic Scenes
Background modeling and subtraction is a core component in motion analysis. The central idea behind such module is to create a probabilistic representation of the static scene tha...
Antoine Monnet, Anurag Mittal, Nikos Paragios, Vis...
WWW
2003
ACM
15 years 10 months ago
XCQ: XML Compression and Querying System
We present our development of an XML compression and querying tool, which is called XML Compression and Querying System (XCQ). This system is developed based on a novel technique ...
Wai Yeung Lam, Wilfred Ng, Peter T. Wood, Mark Lev...