499 search results - page 55 / 100 » Decision Trees for Functional Variables |
CIMCA
2008
IEEE
14 years 2 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
DAC
1999
ACM
13 years 12 months ago
1999
ACM
Ordered Binary Decision Diagrams BDDs are a data structure for representation and manipulation of Boolean functions often applied in VLSI CAD. The choice of the variable orderin...
ESANN
2006
13 years 9 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
IPPS
2006
IEEE
14 years 1 months ago
2006
IEEE
We present an overview of the Jahob system for modular analysis of data structure properties. Jahob uses a subset of Java as the implementation language and annotations with formu...
STOC
2002
ACM
14 years 8 months ago
2002
ACM
Let f : {0, 1}n {0, 1} be a boolean function. For 0 let D (f) be the minimum depth of a decision tree for f that makes an error for fraction of the inputs x {0, 1}n . We also ma...