462 search results - page 19 / 93 » Learning DNF by Decision Trees |
FLAIRS
2006
14 years 11 months ago
2006
Decision Trees are well known for their training efficiency and their interpretable knowledge representation. They apply a greedy search and a divide-and-conquer approach to learn...
AAAI
1990
14 years 11 months ago
1990
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 ...
ECML
2005
Springer
15 years 3 months ago
2005
Springer
Probability trees (or Probability Estimation Trees, PET’s) are decision trees with probability distributions in the leaves. Several alternative approaches for learning probabilit...
ICML
2001
IEEE
15 years 10 months ago
2001
IEEE
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
IJCAI
2007
14 years 11 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...