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» Induction of Oblique Decision Trees
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BICOB
2010
Springer
14 years 10 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»
14 years 11 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
15 years 6 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
14 years 9 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»
14 years 11 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