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» Mass estimation and its applications
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IJAR
2006
118views more  IJAR 2006»
14 years 10 months ago
Learning Bayesian network parameters under order constraints
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
A. J. Feelders, Linda C. van der Gaag
TCAD
2002
158views more  TCAD 2002»
14 years 9 months ago
Static power modeling of 32-bit microprocessors
The paper presents a novel strategy aimed at modelling instruction energy consumption of 32-bits microprocessors. Differently from former approaches, the proposed instruction-level...
Carlo Brandolese, Fabio Salice, William Fornaciari...
IJON
2011
158views more  IJON 2011»
14 years 5 months ago
Maximal Discrepancy for Support Vector Machines
Several theoretical methods have been developed in the past years to evaluate the generalization ability of a classifier: they provide extremely useful insights on the learning ph...
Davide Anguita, Alessandro Ghio, Sandro Ridella
CVPR
1998
IEEE
15 years 12 months ago
Incorporating Illumination Constraints in Deformable Models
In this paper we present a method for the integration of nonlinear holonomic constraints in deformable models and its application to the problems of shape and illuminant direction...
Dimitris Samaras, Dimitris N. Metaxas
HASE
2007
IEEE
15 years 4 months ago
SyncProbe: Providing Assurance of Message Latency through Predictive Monitoring of Internet Paths
SyncProbe improves the end-to-end predictability of distributed systems by providing applications with a real-time estimate of the maximum expected message delay (upper bound on c...
Jawwad Shamsi, Monica Brockmeyer