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» The Complexity of Probabilistic EL
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NIPS
2001
13 years 9 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 9 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
ENTCS
2007
110views more  ENTCS 2007»
13 years 7 months ago
A Bayesian Model for Event-based Trust
The application scenarios envisioned for ‘global ubiquitous computing’ have unique requirements that are often incompatible with traditional security paradigms. One alternativ...
Mogens Nielsen, Karl Krukow, Vladimiro Sassone
ACSC
2004
IEEE
13 years 11 months ago
On Improving the Memory Access Patterns During The Execution of Strassen's Matrix Multiplication Algorithm
Matrix multiplication is a basic computing operation. Whereas it is basic, it is also very expensive with a straight forward technique of O(N3 ) runtime complexity. More complex s...
Hossam A. ElGindy, George Ferizis
FGCS
2007
106views more  FGCS 2007»
13 years 7 months ago
A parallel hybrid genetic algorithm for protein structure prediction on the computational grid
Solving the structure prediction problem for complex proteins is difficult and computationally expensive. In this paper, we propose a bicriterion parallel hybrid genetic algorith...
Alexandru-Adrian Tantar, Nouredine Melab, El-Ghaza...