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» Induction of Oblique Decision Trees
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BICOB
2010
Springer
13 years 7 months ago
Iterative Split Adjustment for Building Multilabel Decision Trees
A decision tree induction method for multilabel classification tasks (IS-MLT) is presented which uses an iterative approach for determining the best split at each node. The propo...
Aiyesha Ma, Ishwar K. Sethi
KBS
2002
141views more  KBS 2002»
13 years 8 months ago
Using J-pruning to reduce overfitting in classification trees
The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...
Max Bramer
ICML
2009
IEEE
14 years 3 months ago
Decision tree and instance-based learning for label ranking
The label ranking problem consists of learning a model that maps instances to total orders over a finite set of predefined labels. This paper introduces new methods for label ra...
Weiwei Cheng, Jens C. Huhn, Eyke Hüllermeier
EGC
2009
Springer
13 years 6 months ago
A Bayes Evaluation Criterion for Decision Trees
We present a new evaluation criterion for the induction of decision trees. We exploit a parameter-free Bayesian approach and propose an analytic formula for the evaluation of the p...
Nicolas Voisine, Marc Boullé, Carine Hue
PR
2008
79views more  PR 2008»
13 years 8 months ago
Region-based image retrieval with high-level semantics using decision tree learning
Semantic-based image retrieval has attracted great interest in recent years. This paper proposes a region-based image retrieval system with high-level semantic learning. The key f...
Ying Liu, Dengsheng Zhang, Guojun Lu