3114 search results - page 319 / 623 » Distributed Case-Based Learning |
112
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ALT
2006
Springer
15 years 11 months ago
2006
Springer
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...
112
Voted
ALT
2005
Springer
2005
Springer
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
15 years 11 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...
146
Voted
ALT
2001
Springer
15 years 11 months ago
2001
Springer
The growing use of information visualization tools and data mining algorithms stems from two separate lines of research. Information visualization researchers believe in the impor...
145
Voted
IEEECIT
2007
IEEE
15 years 8 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...
101
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COLT
2007
Springer
15 years 8 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...