86 search results - page 12 / 18 » Learning stick-figure models using nonparametric Bayesian pr... |
90
Voted
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
98
Voted
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...
UAI
2003
14 years 11 months ago
2003
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
75
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. Designs of micro electro-mechanical devices need to be robust against fluctuations in mass production. Computer experiments with tens of parameters are used to explore th...