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SIAMJO
2000
74views more  SIAMJO 2000»
15 years 4 months ago
A Specialized Interior-Point Algorithm for Multicommodity Network Flows
Abstract. Despite the efficiency shown by interior-point methods in large-scale linear programming, they usually perform poorly when applied to multicommodity flow problems. The ne...
Jordi Castro
ML
2007
ACM
192views Machine Learning» more  ML 2007»
15 years 4 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
MICAI
2010
Springer
15 years 3 months ago
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...
Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour
PC
2010
111views Management» more  PC 2010»
15 years 3 months ago
Reducing complexity in tree-like computer interconnection networks
The fat-tree is one of the topologies most widely used to build high-performance parallel computers. However, they are expensive and difficult to build. In this paper we propose t...
Javier Navaridas, José Miguel-Alonso, Franc...
EUSFLAT
2009
212views Fuzzy Logic» more  EUSFLAT 2009»
15 years 2 months ago
An Interval Type-2 Fuzzy Distribution Network
Abstract-- Planning resources for a supply chain is a major factor determining its success or failure. In this paper we introduce an Interval Type-2 Fuzzy Logic model of a distribu...
Simon Miller, Viara Popova, Robert John, Mario A. ...