1553 search results - page 43 / 311 » Learning from Multiple Sources of Inaccurate Data |
WEBI
2010
Springer
13 years 6 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...
NIPS
2003
13 years 10 months ago
2003
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
BIBM
2007
IEEE
14 years 3 months ago
2007
IEEE
Discovering human disease-causing genes (disease genes in short) is one of the most challenging problems in bioinformatics and biomedicine, as most diseases are related in some wa...
ICDE
1997
IEEE
14 years 10 months ago
1997
IEEE
A data warehouse stores integrated information from multiple distributed data sources. In effect, the warehouse stores materialized views over the source data. The problem of ensu...
MLDM
2007
Springer
14 years 2 months ago
2007
Springer
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...