110 search results - page 8 / 22 » Cost-Sensitive Decision Tree Learning for Forensic Classific... |
119
Voted
IFIP12
2008
15 years 1 months ago
2008
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
89
Voted
JMLR
2010
14 years 6 months ago
2010
After building a classifier with modern tools of machine learning we typically have a black box at hand that is able to predict well for unseen data. Thus, we get an answer to the...
ICIP
2009
IEEE
14 years 9 months ago
2009
IEEE
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
160
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Book
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
SAC
2009
ACM
15 years 6 months ago
2009
ACM
Decision trees are widely disseminated as an effective solution for classification tasks. Decision tree induction algorithms have some limitations though, due to the typical strat...