9886 search results - page 251 / 1978 » Learning Compressible Models |
146
click to vote
UAI
2004
15 years 5 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
122
click to vote
ARTMED
1999
15 years 3 months ago
1999
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
238
click to vote
AR
2011
14 years 11 months ago
2011
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
134
click to vote
JMLR
2010
14 years 10 months ago
2010
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
166
click to vote
ELPUB
2006
ACM
15 years 10 months ago
2006
ACM
In the last few years, the University of Aveiro, Portugal, has been offering several distance learning courses over the Web, using e-learning platforms. Experience showed that dif...