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» Mass estimation and its applications
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90
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IJAR
2006
118views more  IJAR 2006»
15 years 18 days 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
115
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TCAD
2002
158views more  TCAD 2002»
15 years 7 days 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 7 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
100
Voted
CVPR
1998
IEEE
16 years 2 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
89
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HASE
2007
IEEE
15 years 7 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