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111
Voted
ICML
2001
IEEE
16 years 4 months ago
2001
IEEE
We present an improved bound on the difference between training and test errors for voting classifiers. This improved averaging bound provides a theoretical justification for popu...
152
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
114
Voted
WWIC
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. This paper proposes new cognitive algorithms and mechanisms for detecting 0day attacks targeting the Internet and its communication performances and behavior. For this pu...
134
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...
166
Voted
ICML
2000
IEEE
16 years 4 months ago
2000
IEEE
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...