34 search results - page 1 / 7 » Near-Optimal Bayesian Active Learning with Noisy Observation... |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
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...
TMI
2010
13 years 3 months ago
2010
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
IJCAI
2001
13 years 6 months ago
2001
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In most real-world situations, a single microphone is insufficient for the characterization of an entire auditory scene. This often occurs in places such as office environments ...
ALDT
2011
Springer
12 years 5 months ago
2011
Springer
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...