Abstract | ||
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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 Geibel | 1 | 286 | 26.62 |
Fritz Wysotzki | 2 | 456 | 45.46 |