495 search results - page 22 / 99 » Transfer Learning in Decision Trees |
IJCAI
2007
13 years 9 months ago
2007
A long-lived agent continually faces new tasks in its environment. Such an agent may be able to use knowledge learned in solving earlier tasks to produce candidate policies for it...
DIAGRAMS
2004
Springer
14 years 1 months ago
2004
Springer
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
AEI
2006
13 years 7 months ago
2006
Machine Learning algorithms can act as a valuable analytical tool in design research. In this paper, we demonstrate the application of a decision tree learning algorithm for desig...
ML
2000
ACM
13 years 7 months ago
2000
ACM
Capacity control in perceptron decision trees is typically performed by controlling their size. We prove that other quantities can be as relevant to reduce their flexibility and co...
ICML
1990
IEEE
13 years 12 months ago
1990
IEEE
Decision trees that are limited to testing a single variable at a node are potentially much larger than trees that allow testing multiple variables at a node. This limitation redu...