This paper presents a novel algorithm of learning from examples based on items,while the traditional algorithms could be considered as *** deference is that,though both use frequency matrixes as main heuristic informa...
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This paper presents a novel algorithm of learning from examples based on items,while the traditional algorithms could be considered as *** deference is that,though both use frequency matrixes as main heuristic information,the traditional algorithm obtain the matrixes through the line-by-line scanning of examples,while the presented algorithm through scanning of items and then carrying out some calculations according to some laws found by the author in examples *** a item may contains a lot of examples and the cost of scanning of a example is as the same as of scanning of a item,the presented algorithm possesses great ability to be able to handle those learning tasks with great number of examples,many variables and assignments,while the traditional algorithms could not treats with those tasks.
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