82 search results - page 2 / 17 » Learning Selective Averaged One-Dependence Estimators for Pr... |
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...
IJCAI
2001
13 years 7 months ago
2001
For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
ECML
2005
Springer
13 years 11 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
COLING
2010
13 years 1 months ago
2010
In this paper, we propose a review selection approach towards accurate estimation of feature ratings for services on participatory websites where users write textual reviews for t...
JCIT
2008
13 years 6 months ago
2008
Active database systems (ADBS) can, automatically, react to the occurrence of predefined events by definition a collection of active rules. One of the most important modules of AD...