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ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
15 years 4 months ago
Learning Markov Network Structure with Decision Trees
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...
Daniel Lowd, Jesse Davis
JDWM
2007
107views more  JDWM 2007»
15 years 5 months ago
Evolutionary Induction of Mixed Decision Trees
This article presents a new evolutionary algorithm (EA) for induction of mixed decision trees. In nonterminal nodes of a mixed tree, different types of tests can be placed, rangin...
Marek Kretowski, Marek Grzes
VLDB
1998
ACM
120views Database» more  VLDB 1998»
15 years 10 months ago
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
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...
Rajeev Rastogi, Kyuseok Shim
JORS
2010
149views more  JORS 2010»
15 years 24 days ago
Modelling LGD for unsecured personal loans: decision tree approach
The Basel New Accord which is being implemented throughout the banking world on 1 January 2007 has made a significant difference to the use of modelling within financial organisat...
Ania Matuszyk, C. Mues, Lyn C. Thomas
ICCV
2011
IEEE
14 years 6 months ago
Decision Tree Fields
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
Sebastian Nowozin, Carsten Rother, Shai Bagon, Ban...