3556 search results - page 289 / 712 » Can machine learning be secure |
128
Voted
ICMLA
2008
15 years 7 months ago
2008
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
173
Voted
JMLR
2006
15 years 5 months ago
2006
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
126
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ECTEL
2007
Springer
15 years 11 months ago
2007
Springer
This paper proposes a model-driven, extensible platform, delivered on the Web, which is able to support long-distance collaboration of students’ teams working on complex projects...
161
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BMCBI
2010
15 years 5 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
154
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ICML
2008
IEEE
16 years 6 months ago
2008
IEEE
Tsochantaridis et al. (2005) proposed two formulations for maximum margin training of structured spaces: margin scaling and slack scaling. While margin scaling has been extensivel...