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» An Approach for Method Reengineering
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HIS
2001
15 years 6 months ago
Global Optimisation of Neural Networks Using a Deterministic Hybrid Approach
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
Gleb Beliakov, Ajith Abraham
BMCBI
2008
89views more  BMCBI 2008»
15 years 4 months ago
An incremental approach to automated protein localisation
Background: The subcellular localisation of proteins in intact living cells is an important means for gaining information about protein functions. Even dynamic processes can be ca...
Marko Tscherepanow, Nickels Jensen, Franz Kummert
KDD
2004
ACM
123views Data Mining» more  KDD 2004»
16 years 5 months ago
A DEA approach for model combination
This paper proposes a novel Data Envelopment Analysis (DEA) based approach for model combination. We first prove that for the 2-class classification problems DEA models identify t...
Zhiqiang Zheng, Balaji Padmanabhan, Haoqiang Zheng
ICASSP
2009
IEEE
15 years 11 months ago
Map approach to learning sparse Gaussian Markov networks
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
Narges Bani Asadi, Irina Rish, Katya Scheinberg, D...
GECCO
2009
Springer
15 years 11 months ago
An evolutionary approach to planning IEEE 802.16 networks
Efficient and effective deployment of IEEE 802.16 networks to service an area of users with certain traffic demands is an important network planning problem. We resort to an evol...
Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf, Rob...