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NIPS
2008
15 years 5 months ago
Automatic online tuning for fast Gaussian summation
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
INTERNET
2007
105views more  INTERNET 2007»
15 years 4 months ago
Workflow Planning on a Grid
evel of abstraction, we can represent a workflow as a directed graph with operators (or tasks) at the vertices (see Figure 1). Each operator takes inputs from data sources or from ...
Craig W. Thompson, Wing Ning Li, Zhichun Xiao
JMLR
2011
148views more  JMLR 2011»
14 years 11 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
EUROCRYPT
2009
Springer
16 years 4 months ago
On the Portability of Generalized Schnorr Proofs
The notion of Zero Knowledge Proofs (of knowledge) [ZKP] is central to cryptography; it provides a set of security properties that proved indispensable in concrete protocol design...
Jan Camenisch, Aggelos Kiayias, Moti Yung
TCC
2009
Springer
141views Cryptology» more  TCC 2009»
16 years 4 months ago
Weak Verifiable Random Functions
Verifiable random functions (VRFs), introduced by Micali, Rabin and Vadhan, are pseudorandom functions in which the owner of the seed produces a public-key that constitutes a commi...
Zvika Brakerski, Shafi Goldwasser, Guy N. Rothblum...