14 search results - page 1 / 3 » A theoretical framework for learning from a pool of disparat... |
KDD
2002
ACM
14 years 7 months ago
2002
ACM
WEBI
2010
Springer
13 years 4 months ago
2010
Springer
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
NEUROSCIENCE
2001
Springer
13 years 11 months ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
ML
2010
ACM
13 years 1 months ago
2010
ACM
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
JCDL
2006
ACM
14 years 19 days ago
2006
ACM
Citation matching, or the automatic grouping of bibliographic references that refer to the same document, is a data management problem faced by automatic digital libraries for sci...