445 search results - page 58 / 89 » A Bayesian Committee Machine |
131
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...
125
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
150
click to vote
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
146
Voted
ALT
2003
Springer
16 years 22 days ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
204
Voted
ECML
2007
Springer
15 years 10 months ago
2007
Springer
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...