Titlebook: Machine Learning - EWSL-91; European Working Ses Yves Kodratoff Conference proceedings 1991 Springer-Verlag Berlin Heidelberg 1991 Logic Pr

业余爱好者

System ,: Learning from time-varying training sets,

ONYM

Abstracting background knowledge for concept learning,plied to a body of background knowledge (domain theory), allowing EBG to be performed in a more synthetic representation space. This transformation can (at least partially) offer a solution to the problem of domain theory intractability..A complete example of domain theory abstraction is also worked

脆弱吧

Melanocytes

Message-based bucket brigade: An algorithm for the apportionment of credit problem,rule conditions specificity and of the value of the message the rule tries to post. This approach gives a solution to the . problem, i.e. the problem of creating set of rules in which default rules cover broad categories of system responses, while specific ones cover situations in which default rule

CLEFT

恭维

landmark

Abstracting background knowledge for concept learning, with a simplicity criterion for selecting hypotheses, generates concept descriptions which are poor with respect to their information content, difficult to agree upon by humans and strictly task dependent..A new framework is proposed instead, based on notion of abstraction, in the sense of Plaisted

Exonerate

外向者

Using plausible explanations to bias empirical generalization in weak theory domains,ext is an implemented system that learns complex rules (for a musical task) on the basis of a qualitative theory of the domain. It learns by generalizing and compiling plausible explanations, but it can also incrementally modify learned rules in reaction to new evidence. The paper shows how this inc

Watemelon

The replication problem: A constructive induction approach,he new features help the replication problem. This paper examines the influence of replication problem in learning, and studies an refined version of Symmetric FRINGE called DCFringe. Like Symmetric FRINGE, DCFringe attacks both DNF and CNF problems using a dual heuristic. But unlike Symmetric FRING