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CORR
2008
Springer
96views Education» more  CORR 2008»
13 years 7 months ago
Improved Approximations for Multiprocessor Scheduling Under Uncertainty
This paper presents improved approximation algorithms for the problem of multiprocessor scheduling under uncertainty (SUU), in which the execution of each job may fail probabilist...
Christopher Y. Crutchfield, Zoran Dzunic, Jeremy T...
UAI
2004
13 years 9 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
ICPR
2008
IEEE
14 years 2 months ago
Approximation of salient contours in cluttered scenes
This paper proposes a new approach to describe the salient contours in cluttered scenes. No need to do the preprocessing, such as edge detection, we directly use a set of random s...
Rui Huang, Nong Sang, Qiling Tang
KESAMSTA
2009
Springer
14 years 2 months ago
An Approximate Model for Bidders in Sequential Automated Auctions
In this paper, we propose a probabilistic model to study the interaction of bidder and seller agents in sequential automated auctions. We consider a designated “special bidder”...
Erol Gelenbe, Kumaara Velan
NIPS
2003
13 years 9 months ago
Approximate Policy Iteration with a Policy Language Bias
We study an approach to policy selection for large relational Markov Decision Processes (MDPs). We consider a variant of approximate policy iteration (API) that replaces the usual...
Alan Fern, Sung Wook Yoon, Robert Givan