112 search results - page 18 / 23 » Game-Theoretic Learning Using the Imprecise Dirichlet Model |
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
75
Voted
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
108
Voted
TMI
2010
14 years 8 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...
ACL
2011
14 years 1 months ago
2011
Topic models have been used extensively as a tool for corpus exploration, and a cottage industry has developed to tweak topic models to better encode human intuitions or to better...