1890 search results - page 13 / 378 » Graph-Based Concept Learning |
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ECML
1993
Springer
15 years 1 months ago
1993
Springer
This paper describes a genetic learning system called SIA, which learns attributes based rules from a set of preclassified examples. Examples may be described with a variable numbe...
RSFDGRC
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. We present a rough set approach to vague concept approximation within the adaptive learning framework. In particular, the role of extensions of approximation spaces in se...
MIR
2005
ACM
15 years 3 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
ALT
2002
Springer
15 years 6 months ago
2002
Springer
The general dimension is a combinatorial measure that characterizes the number of queries needed to learn a concept class. We use this notion to show that any p-evaluatable concep...
DLOG
1998
14 years 10 months ago
1998
This paper proposes a framework to learn concepts from di erent kinds of observations. We de ne a language to describe meta-concepts, that represent the sets of possible concepts ...