19 search results - page 1 / 4 » Identifying Markov Blankets with Decision Tree Induction |
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
JMLR
2010
12 years 11 months ago
2010
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
JMLR
2002
13 years 4 months ago
2002
Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
BICOB
2010
Springer
13 years 3 months ago
2010
Springer
A decision tree induction method for multilabel classification tasks (IS-MLT) is presented which uses an iterative approach for determining the best split at each node. The propo...