149 search results - page 1 / 30 » Learning by Discovering Concept Hierarchies |
AI
1999
Springer
13 years 5 months ago
1999
Springer
We present a new machine learning method that, given a set of training examples, induces a definition of the target concept in terms of a hierarchy of intermediate concepts and th...
CIKM
2008
Springer
13 years 8 months ago
2008
Springer
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
RSCTC
1993
Springer
13 years 10 months ago
1993
Springer
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
ECML
1997
Springer
13 years 10 months ago
1997
Springer
In learning from examples it is often useful to expand an attribute-vector representation by intermediate concepts. The usual advantage of such structuring of the learning problemi...
RIAO
2004
13 years 7 months ago
2004
We introduce a new method for automatically constructing concept hierarchies where the concept nodes follow a generalization / specialization relation. Starting from a set of conc...