282 search results - page 4 / 57 » Learning graphical models for hypothesis testing and classif... |
UAI
2004
13 years 7 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...
ICML
1999
IEEE
13 years 10 months ago
1999
IEEE
Most research in text classification to date has used a “bag of words” representation in which each feature corresponds to a single word. This paper examines some alternative ...
ITS
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. Successful learning though exploration in open learning environments has been shown to depend on whether students possess the necessary meta-cognitive skills, including s...
TCBB
2008
13 years 5 months ago
2008
Abstract-- Many statistical measures and algorithmic techniques have been proposed for studying residue coupling in protein families. Generally speaking, two residue positions are ...
FUZZIEEE
2007
IEEE
14 years 10 days ago
2007
IEEE
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...