Electronic Resource
Springer
Machine learning
4 (1989), S. 41-65
ISSN:
0885-6125
Keywords:
concept learning
;
classification
;
pac-learning
;
Boolean formulas
;
polynomial-time identification
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
Abstract The distribution-independent model of (supervised) concept learning due to Valiant (1984) is extended to that of semi-supervised learning (ss-learning), in which a collection of disjoint concepts is to be simultaneously learned with only partial information concerning concept membership available to the learning algorithm. It is shown that many learnable concept classes are also ss-learnable. A new technique of learning, using an intermediate oracle, is introduced. Sufficient conditions for a collection of concept classes to be ss-learnable are given.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00114803
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