901 search results - page 45 / 181 » Modelling Complex Data by Learning Which Variable to Constru... |
146
Voted
NIPS
2008
15 years 4 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
163
click to vote
UAI
1998
15 years 4 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
119
Voted
WSC
2007
15 years 5 months ago
2007
Models of real world systems are being increasingly generated from data that describes the behaviour of systems. Data mining techniques, such as Artificial Neural Networks (ANN),...
117
Voted
JMLR
2002
15 years 3 months ago
2002
We extend the classical algorithms of Valiant and Haussler for learning compact conjunctions and disjunctions of Boolean attributes to allow features that are constructed from the...
135
Voted
DIS
2009
Springer
15 years 10 months ago
2009
Springer
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...