1553 search results - page 126 / 311 » Learning from Multiple Sources of Inaccurate Data |
147
Voted
DOLAP
2007
ACM
15 years 7 months ago
2007
ACM
ss domain. Using this more abstract approach means that more data sources of varying types can be incorporated with less effort, and such heterogeneous data sources might be very r...
140
Voted
BMCBI
2006
15 years 3 months ago
2006
Background: Existing tools for multiple-sequence alignment focus on aligning protein sequence or protein-coding DNA sequence, and are often based on extensions to Needleman-Wunsch...
127
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
159
Voted
WEBI
2005
Springer
15 years 9 months ago
2005
Springer
Schema matching is a complex process focusing on matching between concepts describing the data in heterogeneous data sources. There is a shift from manual schema matching, done by...
158
Voted
CVPR
2011
IEEE
14 years 11 months ago
2011
IEEE
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...