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127
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KDD
2009
ACM
16 years 1 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
120
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KDD
2006
ACM
16 years 29 days ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
CORR
2006
Springer
15 years 18 days ago
2006
Springer
This paper describes a general framework for converting online game playing algorithms into constrained convex optimization algorithms. This framework allows us to convert the wel...
ESORICS
2010
Springer
15 years 1 months ago
2010
Springer
The security risk of a network against unknown zero day attacks has been considered as something unmeasurable since software flaws are less predictable than hardware faults and the...
115
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STOC
2003
ACM
16 years 26 days ago
2003
ACM
We introduce a simple network design game that models how independent selfish agents can build or maintain a large network. In our game every agent has a specific connectivity requ...