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» The Power and Performance of Proof Animation
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JMLR
2002
115views more  JMLR 2002»
13 years 7 months ago
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
Matthias Seeger
ESAS
2004
Springer
14 years 1 months ago
Public Key Cryptography in Sensor Networks - Revisited
The common perception of public key cryptography is that it is complex, slow and power hungry, and as such not at all suitable for use in ultra-low power environments like wireless...
Gunnar Gaubatz, Jens-Peter Kaps, Berk Sunar
BMCBI
2008
138views more  BMCBI 2008»
13 years 7 months ago
Inference of haplotypic phase and missing genotypes in polyploid organisms and variable copy number genomic regions
Background: The power of haplotype-based methods for association studies, identification of regions under selection, and ancestral inference, is well-established for diploid organ...
Shu-Yi Su, Jonathan White, David J. Balding, Lachl...
WMCSA
2009
IEEE
14 years 2 months ago
A case for application aware channel access in wireless networks
The increasing reliance of users on wireless networks for Internet connectivity has posed two significant challenges for mobile networking research. The first challenge is to pr...
Ashish Sharma, Elizabeth M. Belding
SADFE
2008
IEEE
14 years 2 months ago
Finding the Evidence in Tamper-Evident Logs
Secure logs are powerful tools for building systems that must resist forgery, prove temporal relationships, and stand up to forensic scrutiny. The proofs of order and integrity en...
Daniel Sandler, Kyle Derr, Scott A. Crosby, Dan S....