Title
Learning Relational Concepts with Decision Trees
Abstract
In this paper, we describe two different learningtasks for relational structures. Whenlearning a classifier for structures, the relationalstructures in the training sets are classifiedas a whole. Contrarily, when learninga context dependent classifier for elementaryobjects, the elementary objects of the relationalstructures in the training set are classified.In general, the class of an elementaryobject will not only depend on its elementaryproperties, but also on its...
Year
Venue
Keywords
1996
ICML
context dependent,decision tree
Field
DocType
Citations 
Information Fuzzy Networks,Decision rule,Decision tree,Pattern recognition,Computer science,Artificial intelligence,ID3 algorithm,Machine learning,Decision engineering,Decision tree learning,Alternating decision tree,Incremental decision tree
Conference
20
PageRank 
References 
Authors
2.04
7
2
Name
Order
Citations
PageRank
Peter Geibel128626.62
Fritz Wysotzki245645.46