499 search results - page 11 / 100 » Decision Trees for Functional Variables |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
AIME
2007
Springer
14 years 1 months ago
2007
Springer
This paper discusses variable selection for medical decision making; in particular decisions regarding when to provide treatment and which treatment to provide. Current variable se...
ICCAD
1994
IEEE
13 years 11 months ago
1994
IEEE
We examine the implications of a new hazard-free combinational logic synthesis method [8], which generates multiplexor trees from binary decision diagrams (BDDs) -- representation...
AEI
2006
13 years 7 months ago
2006
Machine Learning algorithms can act as a valuable analytical tool in design research. In this paper, we demonstrate the application of a decision tree learning algorithm for desig...
SAC
2004
ACM
14 years 29 days ago
2004
ACM
This work presents decision trees adequate for the classification of series data. There are several methods for this task, but most of them focus on accuracy. One of the requirem...