140 search results - page 6 / 28 » Learning Relational Concepts with Decision Trees |
ICML
1999
IEEE
14 years 8 months ago
1999
IEEE
The applicationofboosting procedures to decision tree algorithmshas been shown to produce very accurate classi ers. These classiers are in the form of a majority vote over a numbe...
ICML
1996
IEEE
13 years 11 months ago
1996
IEEE
A learner's performance does not rely only on the representation language and on the algorithm inducing a hypothesis in this language. Also the way the induced hypothesis is ...
EWCBR
2000
Springer
13 years 11 months ago
2000
Springer
This paper proposes a methodology of maintaining Case Based Reasoning (CBR) systems by using fuzzy decision tree induction - a machine learning technique. The methodology is mainly...
AAAI
2006
13 years 9 months ago
2006
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
ECML
1993
Springer
13 years 11 months ago
1993
Springer
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...