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176
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ALT
2005
Springer
2005
Springer
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
16 years 3 months ago
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
219
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IEEECIT
2007
IEEE
16 years 1 months ago
2007
IEEE
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
164
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COLT
2007
Springer
16 years 1 months ago
2007
Springer
Abstract. We establish a generic theoretical tool to construct probabilistic bounds for algorithms where the output is a subset of objects from an initial pool of candidates (or mo...
164
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ECML
2007
Springer
16 years 1 months ago
2007
Springer
Abstract. We introduce a nonparametric model for sensitivity estimation which relies on generating points similar to the prediction point using its k nearest neighbors. Unlike most...
190
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ICALT
2007
IEEE
15 years 8 months ago
2007
IEEE
Semantic web is an emerging paradigm that has great potential for the management of web content in a meaningful manner. With more and more semantic information appended to web, th...