3076 search results - page 333 / 616 » Active Learning for Networked Data |
179
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LCN
2006
IEEE
16 years 21 days ago
2006
IEEE
There is increasing research interest in solving routing problems in sensor networks subject to constraints such as data correlation, link reliability and energy conservation. Sin...
161
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GECCO
2005
Springer
16 years 7 days ago
2005
Springer
Genetic Programming (GP) based Intrusion Detection Systems (IDS) use connection state network data during their training phase. These connection states are recorded as a set of fe...
206
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WIRN
2005
Springer
16 years 5 days ago
2005
Springer
Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
179
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ICANN
2007
Springer
15 years 10 months ago
2007
Springer
In todays bioinformatics, Mass spectrometry (MS) is the key technique for the identification of proteins. A prediction of spectrum peak intensities from pre computed molecular feat...
337
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ASUNAM
2011
IEEE
14 years 6 months ago
2011
IEEE
—Modern applications such as web knowledge base, network traffic monitoring and online social networks have made available an unprecedented amount of network data with rich type...