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» Learning Relational Concepts with Decision Trees
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AAAI
1990
13 years 8 months ago
What Should Be Minimized in a Decision Tree?
In this paper, we address the issue of evaluating decision trees generated from training examples by a learning algorithm. We give a set of performance measures and show how some ...
Usama M. Fayyad, Keki B. Irani
SAC
2010
ACM
14 years 2 months ago
Towards the induction of terminological decision trees
A concept learning framework for terminological representations is introduced. It is grounded on a method for inducing logic decision trees as an adaptation of the classic tree in...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
ECML
2005
Springer
14 years 1 months ago
A Comparison of Approaches for Learning Probability Trees
Probability trees (or Probability Estimation Trees, PET’s) are decision trees with probability distributions in the leaves. Several alternative approaches for learning probabilit...
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice...
CVPR
2000
IEEE
14 years 1 days ago
Learning Patterns from Images by Combining Soft Decisions and Hard Decisions
We present a novel approach for learning patterns (sub-images) shared by multiple images without prior knowledge about the number and the positions of the patterns in the images. ...
Pengyu Hong, Thomas S. Huang, Roy Wang
AUSAI
2006
Springer
13 years 11 months ago
Lazy Learning for Improving Ranking of Decision Trees
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
Han Liang, Yuhong Yan