60 search results - page 1 / 12 » Predicate Invention and Learning from Positive Examples Only |
110
Voted
ECML
1998
Springer
15 years 2 months ago
1998
Springer
Previous bias shift approaches to predicate invention are not applicable to learning from positive examples only, if a complete hypothesis can be found in the given language, as ne...
97
Voted
WAIM
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. The problem of classification from positive and unlabeled examples attracts much attention currently. However, when the number of unlabeled negative examples is very sma...
107
Voted
KDD
2008
ACM
15 years 10 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
98
Voted
ECML
2007
Springer
15 years 4 months ago
2007
Springer
Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
97
Voted
BMCBI
2010
14 years 10 months ago
2010
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...