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ML
2002
ACM
246views Machine Learning» more  ML 2002»
13 years 7 months ago
Bayesian Clustering by Dynamics
This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to disc...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
WSC
2008
13 years 10 months ago
Comparison of bayesian priors for highly reliable limit models
Limit standards are probability interval requirements for proportions. Simulation literature has focused on finding the confidence interval of the population proportion, which is ...
Roy R. Creasey Jr., K. Preston White, Linda B. Wri...
CORR
2011
Springer
191views Education» more  CORR 2011»
13 years 2 months ago
Picturing classical and quantum Bayesian inference
We introduce a graphical framework for Bayesian inference that is sufficiently general to accommodate not just the standard case but also recent proposals for a theory of quantum...
Bob Coecke, Robert W. Spekkens
BMCBI
2007
125views more  BMCBI 2007»
13 years 7 months ago
Bayesian meta-analysis models for microarray data: a comparative study
Background: With the growing abundance of microarray data, statistical methods are increasingly needed to integrate results across studies. Two common approaches for meta-analysis...
Erin M. Conlon, Joon J. Song, Anna Liu
ICML
2009
IEEE
14 years 8 months ago
Near-Bayesian exploration in polynomial time
We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
J. Zico Kolter, Andrew Y. Ng