599 search results - page 55 / 120 » An Algorithm for Learning Abductive Rules |
PKDD
2001
Springer
14 years 12 days ago
2001
Springer
The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analys...
ECML
1987
Springer
13 years 11 months ago
1987
Springer
This paper examines the induction of classification rules from examples using real-world data. Real-world data is almost always characterized by two features, which are important ...
EUROCOLT
1995
Springer
13 years 11 months ago
1995
Springer
k. The model we study can be interpreted as a broad, abstract extension of the well-studied on-line prediction model to a general decision-theoretic setting. We show that the multi...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
NIPS
2007
13 years 9 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...