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133
Voted
FOCS
2006
IEEE
15 years 9 months ago
2006
IEEE
We address well-studied problems concerning the learnability of parities and halfspaces in the presence of classification noise. Learning of parities under the uniform distributi...
126
Voted
DIS
2006
Springer
15 years 7 months ago
2006
Springer
Parametric Embedding (PE) has recently been proposed as a general-purpose algorithm for class visualisation. It takes class posteriors produced by a mixture-based clustering algori...
112
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ITC
1998
IEEE
15 years 7 months ago
1998
IEEE
Previously-proposed strategies for VLSI fault diagnosis have su ered from a variety of self-imposed limitations. Some techniques are limited to a speci c fault model, and many wil...
121
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IDA
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. In this paper we present a probabilistic algorithm which factorizes non-negative data. We employ entropic priors to additionally satisfy that user specified pairs of fac...
119
Voted
CP
2006
Springer
15 years 7 months ago
2006
Springer
We consider probabilistic constrained linear programs with general distributions for the uncertain parameters. These problems generally involve non-convex feasible sets. We develo...