27 search results - page 1 / 6 » Impact of learning set quality and size on decision tree per... |
IJCSS
2000
13 years 7 months ago
2000
Abstract. The quality of a decision tree is usually evaluated through its complexity and its generalization accuracy. Tree-simpli
IJCAI
1989
13 years 8 months ago
1989
A new decision tree learning algorithm called IDX is described. More general than existing algorithms, IDX addresses issues of decision tree quality largely overlooked in the arti...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
DIAGRAMS
2004
Springer
14 years 25 days 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...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...