Multimodality and error reduction learning in anomia therapies
نویسندگان
چکیده
منابع مشابه
Error-Reduction and Simplicity: Opposing Goals in Classification Learning
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15 صفحه اولError Reduction in Extractors
We present a general method to reduce the error of any extractor. Our method works particularly well in the case that the original extractor extracts up to a constant fraction of the source min-entropy and achieves a polynomially small error. In that case, we are able to reduce the error to (almost) any ε, using only O(log(1/ε)) additional truly random bits (while keeping the other parameters o...
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ژورنال
عنوان ژورنال: Annals of Physical and Rehabilitation Medicine
سال: 2014
ISSN: 1877-0657
DOI: 10.1016/j.rehab.2014.03.1576