493 search results - page 77 / 99 » A Multi-relational Decision Tree Learning Algorithm - Implem... |
RULEML
2004
Springer
14 years 1 months ago
2004
Springer
The Web is now a huge information repository with a rich semantic structure that, however, is primarily addressed to human understanding rather than automated processing by a compu...
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to ...
IFIP12
2008
13 years 10 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
ML
2006
ACM
13 years 8 months ago
2006
ACM
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...