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ACSD
2006
IEEE
102views Hardware» more  ACSD 2006»
15 years 7 months 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
162
Voted
CONSTRAINTS
2010
116views more  CONSTRAINTS 2010»
15 years 3 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 7 months 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»
15 years 6 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 10 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