507 search results - page 19 / 102 » Generating Better Decision Trees |
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
ANOR
2007
13 years 7 months ago
2007
The quality of multi-stage stochastic optimization models as they appear in asset liability management, energy planning, transportation, supply chain management, and other applicat...
AUSAI
1999
Springer
14 years 20 hour ago
1999
Springer
Model trees—decision trees with linear models at the leaf nodes—have recently emerged as an accurate method for numeric prediction that produces understandable models. However,...
VLDB
1998
ACM
13 years 12 months ago
1998
ACM
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...