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ACSD
2006
IEEE
102views Hardware» more  ACSD 2006»
15 years 3 days ago
Models of Computation for Networks on Chip
Networks on chip platforms offer the opportunity to introduce a new abstraction level that defines a set of platform services with performance and power characteristics. By making...
Axel Jantsch
83
Voted
CONSTRAINTS
2010
116views more  CONSTRAINTS 2010»
14 years 7 months ago
Enabling local computation for partially ordered preferences
Abstract. Many computational problems linked to uncertainty and preference management can be expressed in terms of computing the marginal(s) of a combination of a collection of val...
Hélène Fargier, Emma Rollon, Nic Wil...
ICCV
2007
IEEE
16 years 2 days ago
Active Learning with Gaussian Processes for Object Categorization
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Tr...
GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
14 years 11 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
ITICSE
1997
ACM
15 years 2 months ago
A genetic algorithms tutorial tool for numerical function optimisation
The field of Genetic Algorithms has grown into a huge area over the last few years. Genetic Algorithms are adaptive methods, which can be used to solve search and optimisation pro...
Edmund K. Burke, D. B. Varley