499 search results - page 7 / 100 » Decision Trees for Functional Variables |
ICDM
2003
IEEE
14 years 24 days 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...
TCAD
1998
13 years 7 months ago
1998
— Ordered Kronecker functional decision diagrams (OKFDD’s) are a data structure for efficient representation and manipulation of Boolean functions. OKFDD’s are a generalizat...
RSA
2006
13 years 7 months ago
2006
Following the entropy method this paper presents general concentration inequalities, which can be applied to combinatorial optimization and empirical processes. The inequalities g...
DIS
2008
Springer
13 years 8 months ago
2008
Springer
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
FCS
2006
13 years 9 months ago
2006
Probabilistic (or randomized) decision trees can be used to compute Boolean functions. We consider two types of probabilistic decision trees - one has a certain probability to give...