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UAI
2004
15 years 7 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
UAI
2000
15 years 7 months ago
Fast Planning in Stochastic Games
Stochastic games generalize Markov decision processes MDPs to a multiagent setting by allowing the state transitions to depend jointly on all player actions, and having rewards de...
Michael J. Kearns, Yishay Mansour, Satinder P. Sin...
AAAI
1990
15 years 7 months ago
Negotiation and Conflict Resolution in Non-Cooperative Domains
In previous work [Zlotkin and Rosenschein, 1989a], we have developed a negotiation protocol and offered some negotiation strategies that are in equilibrium. This negotiation proce...
Gilad Zlotkin, Jeffrey S. Rosenschein
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
15 years 7 months ago
Parameterizing pair approximations for takeover dynamics
Pair approximations have often been used to predict equilibrium conditions in spatially-explicit epidemiological and ecological systems. In this work, we investigate whether this ...
Joshua L. Payne, Margaret J. Eppstein
CCR
2008
84views more  CCR 2008»
15 years 6 months ago
Cold topics in networking
A major contribution to global warming has been the number of new workshops publishing proceedings with the prefix hot. In this article, I propose that we counter this trend in an...
Jon Crowcroft