2518 search results - page 128 / 504 » Machine learning in sedimentation modelling |
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
ICML
2008
IEEE
14 years 11 months ago
2008
IEEE
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
PAMI
2012
12 years 17 days ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
ICML
2009
IEEE
14 years 11 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. ...