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» A Bayesian Approach to Tackling Hard Computational Problems
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CSMR
2005
IEEE
14 years 1 months ago
Discovering Unanticipated Dependency Schemas in Class Hierarchies
Object-oriented applications are difficult to extend and maintain, due to the presence of implicit dependencies in the inheritance hierarchy. Although these dependencies often co...
Gabriela Arévalo, Stéphane Ducasse, ...
HICSS
2003
IEEE
193views Biometrics» more  HICSS 2003»
14 years 26 days ago
Ambient computing applications: an experience with the SPREAD approach
Todays, we assist to the explosive development of mobile computing devices like PDAs and cell-phones, the integration of embedded intelligence (like Web server) in more and more c...
Paul Couderc, Michel Banâtre
GECCO
2011
Springer
270views Optimization» more  GECCO 2011»
12 years 11 months ago
Geometric surrogate-based optimisation for permutation-based problems
In continuous optimisation, surrogate models (SMs) are used when tackling real-world problems whose candidate solutions are expensive to evaluate. In previous work, we showed that...
Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon
ICASSP
2011
IEEE
12 years 11 months ago
Variational Bayesian Kalman filtering in dynamical tomography
The problem of dynamical tomography consists in reconstructing a temporal sequence of images from their noisy projections. For this purpose, a recursive algorithm is usually used,...
Boujemaa Ait-El-Fquih, Thomas Rodet
ISCAS
2006
IEEE
112views Hardware» more  ISCAS 2006»
14 years 1 months ago
Towards an optimised VLSI design algorithm for the constant matrix multiplication problem
The efficient design of multiplierless implementa- The goal is to find the optimal sub-expressions across all N dot tions of constant matrix multipliers is challenged by the huge p...
Andrew Kinane, Valentin Muresan, Noel E. O'Connor