225 search results - page 8 / 45 » On Learning Decision Trees with Large Output Domains |
RAS
2010
13 years 6 months ago
2010
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. We describe a novel BDI exe...
ECML
1997
Springer
13 years 12 months ago
1997
Springer
We investigate an inherent limitation of top-down decision tree induction in which the continuous partitioning of the instance space progressively lessens the statistical support o...
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...
IJPRAI
2002
13 years 7 months ago
2002
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...