445 search results - page 57 / 89 » A Bayesian Committee Machine |
154
Voted
ML
2007
ACM
15 years 3 months ago
2007
ACM
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
158
Voted
JUCS
2008
15 years 3 months ago
2008
: The definition of the Fuzzy Rule Base is one of the most important and difficult tasks when designing Fuzzy Systems. This paper discusses the results of two different hybrid meth...
109
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
130
click to vote
ICML
2007
IEEE
16 years 4 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) ...
125
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...