2252 search results - page 18 / 451 » A distributed machine learning framework |
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IDEAL
2003
Springer
15 years 5 months ago
2003
Springer
As the complexity of Internet is scaled up, it is likely for the Internet resources to be exposed to Distributed Denial of Service (DDoS) flooding attacks on TCP-based Web servers....
ICML
2004
IEEE
16 years 16 days ago
2004
IEEE
In this paper we extend previous results providing a theoretical analysis of a new Monte Carlo ensemble classifier. The framework allows us to characterize the conditions under wh...
NIPS
2008
15 years 1 months ago
2008
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
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PAKDD
2005
ACM
15 years 5 months ago
2005
ACM
Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
TKDE
2010
14 years 10 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...