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CDC
2009
IEEE
179views Control Systems» more  CDC 2009»
15 years 8 months ago
Bayesian network approach to understand regulation of biological processes in cyanobacteria
— Bayesian networks have extensively been used in numerous fields including artificial intelligence, decision theory and control. Its ability to utilize noisy and missing data ...
Thanura R. Elvitigala, Abhay K. Singh, Himadri B. ...
NIPS
2007
15 years 4 months ago
Comparing Bayesian models for multisensory cue combination without mandatory integration
Bayesian models of multisensory perception traditionally address the problem of estimating an underlying variable that is assumed to be the cause of the two sensory signals. The b...
Ulrik Beierholm, Konrad P. Körding, Ladan Sha...
JMLR
2010
137views more  JMLR 2010»
14 years 10 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
PVLDB
2008
122views more  PVLDB 2008»
15 years 2 months ago
Exploiting shared correlations in probabilistic databases
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources -from sensor data, experimental data, data fro...
Prithviraj Sen, Amol Deshpande, Lise Getoor
WWW
2008
ACM
16 years 3 months ago
Extracting XML schema from multiple implicit xml documents based on inductive reasoning
We propose a method of classifying XML documents and extracting XML schema from XML by inductive inference based on constraint logic programming. The goal of this work is to type ...
Masaya Eki, Tadachika Ozono, Toramatsu Shintani