Synthesizing Learners Tolerating Computable Noisy Data
نویسندگان
چکیده
منابع مشابه
Synthesizing Learners Tolerating Computable Noisy Data
An index for an r.e. class of languages (by definition) generates a sequence of grammars defining the class. An index for an indexed family of recursive languages (by definition) generates a sequence of decision procedures defining the family. F. Stephan’s model of noisy data is employed, in which, roughly, correct data crops up infinitely often, and incorrect data only finitely often. In a com...
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An index for an r.e. class of languages (by deenition) generates a sequence of grammars deening the class. An index for an indexed family of languages (by deenition) generates a sequence of decision procedures deening the family. F. Stephan's model of noisy data is employed, in which, roughly, correct data crops up innnitely often, and incorrect data only nitely often. In a completely computabl...
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In this paper we discuss issues related to data mining from a noisy database such as what might be generated by a machine learning system. We describe an approach for estimating joint probability distributions of the noise-free case in terms of noisy observables and conditional probabilities which can be estimated using statistical sampling and error analysis. Several experiments are presented ...
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TA(ν) has little to do with the radiation temperature of the source, which is not restricted to have a thermal spectrum. It is more accurately a noise temperature. If one were to place a telescope or feed and detector with small bandwidth ∆ν above the atmosphere and measure power Pν , one could replace that whole system with a resistor at temperature TA(ν), and measure the same power. Similarly...
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An index for an r.e. class of languages (by definition) generates a sequence of grammars defining the class. An index for an indexed family of languages (by definition) generates a sequence of decision procedures defining the family. F. Stephan’s model of noisy data is employed, in which, roughly, correct data crops up infinitely often, and incorrect data only finitely often. Studied, then, is ...
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ژورنال
عنوان ژورنال: Journal of Computer and System Sciences
سال: 2001
ISSN: 0022-0000
DOI: 10.1006/jcss.2000.1736