4591 search results - page 488 / 919 » Learning from Dyadic Data |
182
Voted
BMCBI
2006
15 years 6 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
265
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VLDB
2003
ACM
16 years 7 months ago
2003
ACM
On the Semantic Web, data will inevitably come from many different ontologies, and information processing across ontologies is not possible without knowing the semantic mappings be...
185
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ICAC
2006
IEEE
16 years 27 days ago
2006
IEEE
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
360
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FUIN
2011
14 years 10 months ago
2011
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
184
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DOLAP
2007
ACM
15 years 10 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...