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» Rough Sets and Approximation Schemes
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UAI
2004
13 years 11 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
IOR
2006
163views more  IOR 2006»
13 years 9 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
DAC
1999
ACM
14 years 2 months ago
Improved Approximate Reachability Using Auxiliary State Variables
Approximate reachability techniques trade o accuracy for the capacity to deal with bigger designs. Cho et al 4 proposed partitioning the set of state bits into mutually disjoint s...
Shankar G. Govindaraju, David L. Dill, Jules P. Be...
SDM
2003
SIAM
129views Data Mining» more  SDM 2003»
13 years 11 months ago
Approximate Query Answering by Model Averaging
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Dmitry Pavlov, Padhraic Smyth
VRST
1997
ACM
14 years 2 months ago
View volume culling using a probabilistic caching scheme
This paper describes a new algorithm for view volume culling. During an interactive walkthrough of a 3D scene, at any moment a large proportion of objects will be outside of the v...
Mel Slater, Yiorgos Chrysanthou