1300 search results - page 168 / 260 » Toward network data independence |
114
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JMLR
2006
15 years 18 days ago
2006
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
107
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DIS
2009
Springer
15 years 7 months ago
2009
Springer
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
110
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INFOCOM
2006
IEEE
15 years 6 months ago
2006
IEEE
— Wireless local area networks (WLANs) are emerging as a popular technology for access to the Internet and enterprise networks. In the long term, the success of WLANs depends on ...
113
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CIKM
2008
Springer
15 years 2 months ago
2008
Springer
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
113
Voted
IJAR
2010
14 years 11 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...