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SAC
2005
ACM
16 years 5 days ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra
ASIACRYPT
2003
Springer
15 years 12 months ago
Generalized Powering Functions and Their Application to Digital Signatures
This paper investigates some modular powering functions suitable for cryptography. It is well known that the Rabin encryption function is a 4-to-1 mapping and breaking its one-wayn...
Hisayoshi Sato, Tsuyoshi Takagi, Satoru Tezuka, Ka...
ISPD
1997
ACM
186views Hardware» more  ISPD 1997»
15 years 10 months ago
EWA: exact wiring-sizing algorithm
The wire sizing problem under inequality Elmore delay constraints is known to be posynomial, hence convex under an exponential variable-transformation. There are formal methods fo...
Rony Kay, Gennady Bucheuv, Lawrence T. Pileggi
CORR
2010
Springer
76views Education» more  CORR 2010»
15 years 1 months ago
Power Control with Imperfect Exchanges and Applications to Spectrum Sharing
In various applications, the effect of errors in gradient-based iterations is of particular importance when seeking saddle points of the Lagrangian function associated with constra...
Nikolaos Gatsis, Georgios B. Giannakis
ICPR
2008
IEEE
16 years 1 months ago
Determination of optimal metabolic pathways through a new learning algorithm
In the present article, we introduce a new method for identification of metabolic pathways in constraint based models that consider enzyme and substrate concentrations. It genera...
C. A. Murthy, Mouli Das, Rajat K. De, Subhasis Muk...