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CRYPTO
2008
Springer
134views Cryptology» more  CRYPTO 2008»
14 years 5 days ago
Noninteractive Statistical Zero-Knowledge Proofs for Lattice Problems
We construct noninteractive statistical zero-knowledge (NISZK) proof systems for a variety of standard approximation problems on lattices, such as the shortest independent vectors...
Chris Peikert, Vinod Vaikuntanathan
SIAMCOMP
2000
104views more  SIAMCOMP 2000»
13 years 10 months ago
On the Difficulty of Designing Good Classifiers
We consider the problem of designing a near-optimal linear decision tree to classify two given point sets B and W in n. A linear decision tree de nes a polyhedral subdivision of sp...
Michelangelo Grigni, Vincent Mirelli, Christos H. ...
JMLR
2002
115views more  JMLR 2002»
13 years 10 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
QUESTA
2010
107views more  QUESTA 2010»
13 years 8 months ago
On the inapproximability of M/G/K: why two moments of job size distribution are not enough
The M/G/K queueing system is one of the oldest model for multi-server systems, and has been the topic of performance papers for almost half a century. However, even now, only coar...
Varun Gupta, Mor Harchol-Balter, J. G. Dai, Bert Z...
STOC
1989
ACM
99views Algorithms» more  STOC 1989»
14 years 2 months ago
A Random Polynomial Time Algorithm for Approximating the Volume of Convex Bodies
We present a randomised polynomial time algorithm for approximating the volume of a convex body K in n-dimensional Euclidean space. The proof of correctness of the algorithm relie...
Martin E. Dyer, Alan M. Frieze, Ravi Kannan