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153
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TSP
2011
230views more  TSP 2011»
14 years 9 months ago
Bayesian Nonparametric Inference of Switching Dynamic Linear Models
—Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
Emily B. Fox, Erik B. Sudderth, Michael I. Jordan,...
111
Voted
UAI
2003
15 years 4 months ago
An Empirical Study of w-Cutset Sampling for Bayesian Networks
The paper studies empirically the time-space trade-off between sampling and inference in the cutset sampling algorithm. The algorithm samples over a subset of nodes in a Bayesian ...
Bozhena Bidyuk, Rina Dechter
124
Voted
AAAI
2008
15 years 5 months ago
Lifted First-Order Belief Propagation
Unifying first-order logic and probability is a long-standing goal of AI, and in recent years many representations combining aspects of the two have been proposed. However, infere...
Parag Singla, Pedro Domingos
ICML
2005
IEEE
16 years 3 months ago
Fast inference and learning in large-state-space HMMs
For Hidden Markov Models (HMMs) with fully connected transition models, the three fundamental problems of evaluating the likelihood of an observation sequence, estimating an optim...
Sajid M. Siddiqi, Andrew W. Moore
137
Voted
RECOMB
2006
Springer
16 years 2 months ago
Inferring Gene Orders from Gene Maps Using the Breakpoint Distance
Abstract. Preliminary to most comparative genomics studies is the annotation of chromosomes as ordered sequences of genes. Unfortunately, different genetic mapping techniques usual...
Guillaume Blin, Eric Blais, Pierre Guillon, Mathie...