4660 search results - page 24 / 932 » Learning from imperfect data |
97
Voted
FUZZIEEE
2007
IEEE
15 years 9 months ago
2007
IEEE
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
123
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DAGM
2004
Springer
15 years 8 months ago
2004
Springer
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
128
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ICGI
2010
Springer
15 years 3 months ago
2010
Springer
This paper presents an efficient algorithm that identifies a rich subclass of multiple context-free languages in the limit from positive data and membership queries by observing wh...
118
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DEBU
2000
15 years 2 months ago
2000
A critical problem in developing information agents for the Web is accessing data that is formatted for human use. We have developed a set of tools for extracting data from web si...
CORR
2010
Springer
15 years 2 months ago
2010
Springer
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...