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IJON
2000
105views more  IJON 2000»
13 years 7 months ago
G-Prop: Global optimization of multilayer perceptrons using GAs
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
JMLR
2002
111views more  JMLR 2002»
13 years 7 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
BMCBI
2004
158views more  BMCBI 2004»
13 years 7 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
ISCAS
2006
IEEE
99views Hardware» more  ISCAS 2006»
14 years 1 months ago
MIMO interconnects order reductions by using the global Arnoldi algorithm
— We propose the global Arnoldi algorithm for MIMO RLCG interconnect model order reductions. This algorithm is an extension of the standard Arnoldi algorithm for systems with mul...
Ming-Hong Lai, Chia-Chi Chu, Wu-Shiung Feng
PE
2011
Springer
274views Optimization» more  PE 2011»
13 years 1 months ago
A generalized method of moments for closed queueing networks
We introduce a new solution technique for closed product-form queueing networks that generalizes the Method of Moments (MoM), a recently proposed exact algorithm that is several o...
Giuliano Casale