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» Learning Bayesian network parameters under order constraints
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RECOMB
2003
Springer
14 years 7 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson
INFOCOM
2005
IEEE
14 years 19 days ago
A performance vs. cost framework for evaluating DHT design tradeoffs under churn
Abstract— Protocols for distributed hash tables (DHTs) incorporate features to achieve low latency for lookup requests in the face of churn, continuous changes in membership. The...
Jinyang Li, Jeremy Stribling, Robert Morris, M. Fr...
JMLR
2012
11 years 9 months ago
A Bayesian Analysis of the Radioactive Releases of Fukushima
The Fukushima Daiichi disaster 11 March, 2011 is considered the largest nuclear accident since the 1986 Chernobyl disaster and has been rated at level 7 on the International Nucle...
Ryota Tomioka, Morten Mørup
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 3 months ago
The Non-Bayesian Restless Multi-Armed Bandit: a Case of Near-Logarithmic Regret
In the classic Bayesian restless multi-armed bandit (RMAB) problem, there are N arms, with rewards on all arms evolving at each time as Markov chains with known parameters. A play...
Wenhan Dai, Yi Gai, Bhaskar Krishnamachari, Qing Z...
ECML
2006
Springer
13 years 10 months ago
EM Algorithm for Symmetric Causal Independence Models
Causal independence modelling is a well-known method both for reducing the size of probability tables and for explaining the underlying mechanisms in Bayesian networks. In this pap...
Rasa Jurgelenaite, Tom Heskes