3076 search results - page 206 / 616 » Active Learning for Networked Data |
137
Voted
JMLR
2006
15 years 4 months ago
2006
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
141
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CEC
2010
IEEE
15 years 6 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
130
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EVOW
2008
Springer
15 years 6 months ago
2008
Springer
In many cases what matters is not whether a false discovery is made or not but the expected proportion of false discoveries among all the discoveries made, i.e. the so-called false...
150
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KDD
2010
ACM
15 years 3 months ago
2010
ACM
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
145
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GLOBECOM
2007
IEEE
15 years 11 months ago
2007
IEEE
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...