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ASp, 31-33 | 2010
The theory of collocational networks adopts a textual definition of the phenomenon ofcollocation in an electronic corpus. The networks move out from a central node exploring thesignificant word associations of both base and collocate. This is done by measuring statisticalsignificance using mutual information. Working within a carefully-constructed corpus based on adiscourse comm...
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In this lecture we will talk about the PAC model. The PAC learning model is one of the important and famous learning model. PAC stands for Probably Approximately Correct, our goal is to learn a hypothesis from a hypothesis class such that in high con dence we will have a small error rate (approximately correct). We start the lecture with an intuitive example to explain the idea behind the PAC m...
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ژورنال
عنوان ژورنال: Μνήμων
سال: 2012
ISSN: 2241-7524,1105-3917
DOI: 10.12681/mnimon.40