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KDD
2007
ACM
132views Data Mining» more  KDD 2007»
15 years 10 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
FDTC
2006
Springer
102views Cryptology» more  FDTC 2006»
15 years 1 months ago
Cryptographic Key Reliable Lifetimes: Bounding the Risk of Key Exposure in the Presence of Faults
With physical attacks threatening the security of current cryptographic schemes, no security policy can be developed without taking into account the physical nature of computation....
Alfonso De Gregorio
WSC
1998
14 years 11 months ago
Sequential Allocations that Reduce Risk for Multiple Comparisons
We consider how to efficiently allocate computing resources in order to infer the best of a finite set of simulated systems, where best means that the system has the maximal expec...
Stephen E. Chick, Koichiro Inoue
PSD
2010
Springer
108views Database» more  PSD 2010»
14 years 8 months ago
Disclosure Risk of Synthetic Population Data with Application in the Case of EU-SILC
In survey statistics, simulation studies are usually performed by repeatedly drawing samples from population data. Furthermore, population data may be used in courses on survey sta...
Matthias Templ, Andreas Alfons
INTERSPEECH
2010
14 years 4 months ago
On the relation of Bayes risk, word error, and word posteriors in ASR
In automatic speech recognition, we are faced with a wellknown inconsistency: Bayes decision rule is usually used to minimize sentence (word sequence) error, whereas in practice w...
Ralf Schlüter, Markus Nußbaum-Thom, Her...