1772 search results - page 113 / 355 » Classifying Problems into Complexity Classes |
170
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ICDCN
2010
Springer
15 years 10 months ago
2010
Springer
Abstract. We re-visit the problem of perfectly secure message transmission (PSMT) in a directed network under the presence of a threshold adaptive Byzantine adversary, having unbou...
147
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TARK
2005
Springer
15 years 12 months ago
2005
Springer
Fagin, Halpern, Moses, and Vardi have proposed a framework of epistemic agents with multiple “frames of mind” (local-reasoning structures), to solve problems concerning incons...
157
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PKDD
2010
Springer
15 years 4 months ago
2010
Springer
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
196
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
185
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PREMI
2005
Springer
15 years 12 months ago
2005
Springer
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...