1950 search results - page 225 / 390 » Informative sampling for large unbalanced data sets |
164
Voted
ACML
2009
Springer
15 years 8 months ago
2009
Springer
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
171
Voted
JCB
2008
15 years 3 months ago
2008
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
121
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ACL
2001
15 years 5 months ago
2001
Named entity (NE) recognition is a task in which proper nouns and numerical information in a document are detected and classified into categories such as person, organization, loc...
252
Voted
EDM
2009
15 years 1 months ago
2009
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
117
Voted
KI
1999
Springer
15 years 8 months ago
1999
Springer
Computing least common subsumers in description logics is an important reasoning service useful for a number of applications. As shown in the literature, it can, for instance, be u...