RESEARCH ON SOME THEORIES OF LEARNING FROM EXAMPLES
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    Abstract:

    In this paper, an initial study of learning from examples is made. After the rule-space of solutions is enlarged from normal formula solutions to all general formula solutions, the following conclusions are got:1. Discussing the change of corresponding rules set, with the change of examples set. 2. There are no solutions when positive-examples set intersets negative-examples set. 3. If the union of positive-examples set and negative-examples set equals to the space which consists of all examples, the rule-solution is unique is unique.4.If the soultions exist,there must be two basic solutions,and these two solutions are maximum and minimun,under the relation of partialorder“=>”.5.the rule set for the opearate ∧,∨ forms a bounded distributive lattice,and the two basic solutions are the upper bound and the lower bound of this lattice respectively.6.GS theorem corresponding to GS algorithm is given.

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李红斌,王开铸,郭克俭.示例式学习某些理论的研究.软件学报,1990,1(3):10-14

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History
  • Received:May 09,1989
  • Revised:August 15,1989
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