495 search results - page 19 / 99 » Transfer Learning in Decision Trees |
FLAIRS
2006
13 years 9 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
13 years 9 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 ...
ESANN
2001
13 years 9 months ago
2001
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
ECML
2005
Springer
14 years 1 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
14 years 8 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...