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» Solutions to Computational Problems Through Gene Assembly
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141
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TNN
2010
216views Management» more  TNN 2010»
14 years 7 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
118
Voted
NCA
2006
IEEE
15 years 19 days ago
Analysing the localisation sites of proteins through neural networks ensembles
Scientists involved in the area of proteomics are currently seeking integrated, customised and validated research solutions to better expedite their work in proteomics analyses and...
Aristoklis D. Anastasiadis, George D. Magoulas
122
Voted
ICPR
2008
IEEE
16 years 1 months ago
Solving quadratically constrained geometrical problems using lagrangian duality
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...
Carl Olsson, Anders Eriksson
95
Voted
HAIS
2009
Springer
15 years 5 months ago
A GA(TS) Hybrid Algorithm for Scheduling in Computational Grids
The hybridization of heuristics methods aims at exploring the synergies among stand alone heuristics in order to achieve better results for the optimization problem under study. In...
Fatos Xhafa, Juan Antonio Gonzalez, Keshav P. Daha...
CCGRID
2007
IEEE
15 years 7 months ago
Build-and-Test Workloads for Grid Middleware: Problem, Analysis, and Applications
The Grid promise is starting to materialize today: largescale multi-site infrastructures have grown to assist the work of scientists from all around the world. This tremendous gro...
Alexandru Iosup, Dick H. J. Epema