1900 search results - page 83 / 380 » Gaussian Processes in Machine Learning |
ADCM
2010
13 years 9 months ago
2010
Sampling inequalities give a precise formulation of the fact that a differentiable function cannot attain large values, if its derivatives are bounded and if it is small on a suff...
EDM
2010
13 years 7 months ago
2010
This research investigates the detection of student meta-cognitive planning processes in real-time using log tracing techniques. We use fine and coarse-grained data distillation, i...
ICML
2009
IEEE
14 years 9 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. ...
ICML
2008
IEEE
14 years 9 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...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...