Local probability effects of repeating irrelevant attributes
نویسندگان
چکیده
منابع مشابه
PAC Learning with Irrelevant Attributes
We consider the problem of learning in the presence of irrelevant attributes in Valiant's PAC model V84]. In the PAC model, the goal of the learner is to produce an approximately correct hypothesis from random sample data. If the number of relevant attributes in the target function is small, it may be desirable to produce a hypothesis that also depends on only a small number of variables. Hauss...
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Meaningfulness of the relevant (MR) and irrelevant (MI) syllables and contiguity of the relevant syllables were manipulated in a task analogous to concept formation. Stimuli consisted of two nonsense syllables with one being relevant, in that it was consistently paired with a number response, and the other being irrelevant, in that it appeared equally often with each number response. MR was var...
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Large data sets arising from neurophysiological experiments are frequently observed with repeating temporal patterns. Our ability to decode these patterns is dependent on the development of methods to assess whether the patterns are significant or occurring by chance. Given a hypothesized sequence within these data, we derive probability formulas to allow assessment of the likelihood of recurre...
متن کاملNotes on Learning with Irrelevant Attributes in the PAC Model
In these notes, we sketch some of our work on learning with irrelevant attributes in Valiant’s PAC model [V84]. In the PAC model, the goal of the learner is to produce an approximately correct hypothesis from random sample data. If the number of relevant attributes in the target function is small, it may he desirable to produce a hypothesis that also depends on only a small number of variables....
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ژورنال
عنوان ژورنال: Attention, Perception, & Psychophysics
سال: 2016
ISSN: 1943-3921,1943-393X
DOI: 10.3758/s13414-016-1200-x