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NPL
2000
95views more  NPL 2000»
13 years 7 months ago
Bayesian Sampling and Ensemble Learning in Generative Topographic Mapping
Generative topographic mapping (GTM) is a statistical model to extract a hidden smooth manifold from data, like the self-organizing map (SOM). Although a deterministic search algo...
Akio Utsugi
STOC
2004
ACM
129views Algorithms» more  STOC 2004»
14 years 7 months ago
Sorting and searching in the presence of memory faults (without redundancy)
We investigate the design of algorithms resilient to memory faults, i.e., algorithms that, despite the corruption of some memory values during their execution, are able to produce...
Irene Finocchi, Giuseppe F. Italiano
ISQED
2009
IEEE
133views Hardware» more  ISQED 2009»
14 years 2 months ago
A novel ACO-based pattern generation for peak power estimation in VLSI circuits
Estimation of maximal power consumption is an essential task in VLSI circuit realizations since power value significantly affects the reliability of the circuits. The key issue o...
Yi-Ling Liu, Chun-Yao Wang, Yung-Chih Chen, Ya-Hsi...
ANOR
2011
131views more  ANOR 2011»
13 years 2 months ago
A branch-and-bound algorithm for hard multiple knapsack problems
Abstract The multiple knapsack problem (MKP) is a classical combinatorial optimization problem. A recent algorithm for some classes of the MKP is bin-completion, a bin-oriented, br...
Alex S. Fukunaga
GECCO
2004
Springer
14 years 26 days ago
Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms
When applied to real-world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to elaborate fitness calculations t...
Wilfried Jakob, Christian Blume, Georg Bretthauer