2665 search results - page 226 / 533 » Bundle Methods for Machine Learning |
98
Voted
ICML
2007
IEEE
16 years 3 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,...
139
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
A general framework is proposed for gradient boosting in supervised learning problems where the loss function is defined using a kernel over the output space. It extends boosting ...
117
Voted
ICML
2007
IEEE
16 years 3 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...
112
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
We introduce confidence-weighted linear classifiers, which add parameter confidence information to linear classifiers. Online learners in this setting update both classifier param...
134
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...