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NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 10 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
TCAD
2008
100views more  TCAD 2008»
13 years 10 months ago
Robust Clock Tree Routing in the Presence of Process Variations
Abstract--Advances in very large-scale integration technology make clock skew more susceptible to process variations. Notwithstanding efficient exact zero-skew algorithms, clock sk...
Uday Padmanabhan, Janet Meiling Wang, Jiang Hu
JDWM
2007
122views more  JDWM 2007»
13 years 10 months ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho
EUROCRYPT
2010
Springer
14 years 2 months ago
Protecting Circuits from Leakage: the Computationally-Bounded and Noisy Cases
Abstract. Physical computational devices leak side-channel information that may, and often does, reveal secret internal states. We present a general transformation that compiles an...
Sebastian Faust, Tal Rabin, Leonid Reyzin, Eran Tr...
DIS
2006
Springer
14 years 11 hour ago
Change Detection with Kalman Filter and CUSUM
Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...
Milton Severo, João Gama