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» Improving Stability of Decision Trees
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IJPRAI
2002
93views more  IJPRAI 2002»
13 years 4 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
ECML
2007
Springer
13 years 11 months ago
Decision Tree Instability and Active Learning
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...
Kenneth Dwyer, Robert Holte
DIS
2008
Springer
13 years 6 months ago
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees
Decision trees are among the most effective and interpretable classification algorithms while ensembles techniques have been proven to alleviate problems regarding over-fitting and...
Albrecht Zimmermann
ICTAI
1999
IEEE
13 years 9 months ago
Controlled Flux Results in Stable Decision Trees
This work deals with stability in incremental induction of decision trees. Stability problems arise when an induction algorithm must revise a decision tree very often and oscillat...
Dimitrios Kalles, Athanassios Papagelis
BMCBI
2006
137views more  BMCBI 2006»
13 years 4 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...