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ECML
2005
Springer
15 years 11 months ago
Simple Test Strategies for Cost-Sensitive Decision Trees
We study cost-sensitive learning of decision trees that incorporate both test costs and misclassification costs. In particular, we first propose a lazy decision tree learning that ...
Shengli Sheng, Charles X. Ling, Qiang Yang
SDM
2010
SIAM
192views Data Mining» more  SDM 2010»
15 years 7 months ago
Fast and Accurate Gene Prediction by Decision Tree Classification
Gene prediction is one of the most challenging tasks in genome analysis, for which many tools have been developed and are still evolving. In this paper, we present a novel gene pr...
Rong She, Jeffrey Shih-Chieh Chu, Ke Wang, Nanshen...
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
KDD
1995
ACM
176views Data Mining» more  KDD 1995»
15 years 9 months ago
MDL-Based Decision Tree Pruning
This paper explores the application of the Minimum Description Length principle for pruning decision trees. We present a new algorithm that intuitively captures the primary goal o...
Manish Mehta 0002, Jorma Rissanen, Rakesh Agrawal
JORS
2010
149views more  JORS 2010»
15 years 27 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