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NIPS
2007
14 years 11 months ago
Catching Up Faster in Bayesian Model Selection and Model Averaging
Bayesian model averaging, model selection and their approximations such as BIC are generally statistically consistent, but sometimes achieve slower rates of convergence than other...
Tim van Erven, Peter Grunwald, Steven de Rooij
ALT
2009
Springer
15 years 6 months ago
Average-Case Active Learning with Costs
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
Andrew Guillory, Jeff A. Bilmes
WSC
2001
14 years 11 months ago
Using common random numbers for indifference-zone selection
This paper discusses the validity of using common random numbers (CRNs) with two-stage selection procedures to improve the possibility of correct selection and discusses the intri...
E. Jack Chen
CORR
2010
Springer
125views Education» more  CORR 2010»
14 years 10 months ago
Near-Optimal Bayesian Active Learning with Noisy Observations
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
Daniel Golovin, Andreas Krause, Debajyoti Ray
TIP
2008
185views more  TIP 2008»
14 years 9 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord