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IJCAI
2001
15 years 7 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
15 years 7 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
SERP
2004
15 years 7 months ago
Virtual UNR Campus: The Specification Process
The Virtual UNR Campus (VCam) presented in this paper is an interactive environment where users explore a 3D representation of the University of Nevada, Reno (UNR) campus. In esse...
Sergiu Dascalu, Frederick C. Harris Jr., Matthew K...
IJCAI
2003
15 years 7 months ago
Taming Decentralized POMDPs: Towards Efficient Policy Computation for Multiagent Settings
The problem of deriving joint policies for a group of agents that maximize some joint reward function can be modeled as a decentralized partially observable Markov decision proces...
Ranjit Nair, Milind Tambe, Makoto Yokoo, David V. ...
WAE
2001
281views Algorithms» more  WAE 2001»
15 years 7 months ago
Using PRAM Algorithms on a Uniform-Memory-Access Shared-Memory Architecture
The ability to provide uniform shared-memory access to a significant number of processors in a single SMP node brings us much closer to the ideal PRAM parallel computer. In this pa...
David A. Bader, Ajith K. Illendula, Bernard M. E. ...