1532 search results - page 36 / 307 » A statistical approach to rule learning |
ACCV
2006
Springer
14 years 4 months ago
2006
Springer
Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatio-temporal changes occurring due...
COGSR
2011
13 years 5 months ago
2011
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
ML
2006
ACM
13 years 10 months ago
2006
ACM
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
COLING
2000
13 years 11 months ago
2000
This paper describes an approach to using semantic rcprcsentations for learning information extraction (IE) rules by a type-oriented inductire logic programming (ILl)) system. NLP...
IDA
2005
Springer
14 years 3 months ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...