149 search results - page 1 / 30 » Learning by Discovering Concept Hierarchies |
AI
1999
Springer
13 years 4 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 6 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 9 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 9 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 6 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...