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SDM
2011
SIAM
183views Data Mining» more  SDM 2011»
12 years 10 months ago
Nonparametric Bayesian Co-clustering Ensembles
A nonparametric Bayesian approach to co-clustering ensembles is presented. Similar to clustering ensembles, coclustering ensembles combine various base co-clustering results to ob...
Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, M...
BMCBI
2007
128views more  BMCBI 2007»
13 years 7 months ago
A Bayesian nonparametric method for prediction in EST analysis
Background: Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library, several sta...
Antonio Lijoi, Ramsés H. Mena, Igor Prü...
ICASSP
2011
IEEE
12 years 11 months ago
Learning non-parametric models of pronunciation
As more data becomes available for a given speech recognition task, the natural way to improve recognition accuracy is to train larger models. But, while this strategy yields mode...
Brian Hutchinson, Jasha Droppo
RAS
2010
216views more  RAS 2010»
13 years 5 months ago
A nonparametric learning approach to range sensing from omnidirectional vision
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
Christian Plagemann, Cyrill Stachniss, Jürgen...
ICML
2007
IEEE
14 years 8 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...