57 search results - page 2 / 12 » Learning Decision Trees with log Conditional Likelihood |
NIPS
2008
13 years 7 months ago
2008
We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
ECML
2004
Springer
13 years 11 months ago
2004
Springer
It has been observed that traditional decision trees produce poor probability estimates. In many applications, however, a probability estimation tree (PET) with accurate probabilit...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
FSKD
2007
Springer
13 years 11 months ago
2007
Springer
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
PODS
2007
ACM
14 years 5 months ago
2007
ACM
We consider the problem of constructing decision trees for entity identification from a given relational table. The input is a table containing information about a set of entities...