2898 search results - page 280 / 580 » Ensemble Methods in Machine Learning |
120
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
89
Voted
ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
The k q-flats algorithm is a generalization of the popular k-means algorithm where q dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a ...
112
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
80
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
We introduce quadratically gated mixture of experts (QGME), a statistical model for multi-class nonlinear classification. The QGME is formulated in the setting of incomplete data,...
93
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...