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ISNN
2010
Springer
15 years 5 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He
SMA
2008
ACM
192views Solid Modeling» more  SMA 2008»
15 years 5 months ago
Identification of sections from engineering drawings based on evidence theory
View identification is the basal process for solid reconstruction from engineering drawings. A new method is presented to label various views from a section-involved drawing and i...
Jie-Hui Gong, Hui Zhang, Bin Jiang, Jia-Guang Sun
JCO
2010
123views more  JCO 2010»
15 years 5 months ago
Capacity inverse minimum cost flow problem
Given a directed graph G = (N, A) with arc capacities uij and a minimum cost flow problem defined on G, the capacity inverse minimum cost flow problem is to find a new capacit...
Çigdem Güler, Horst W. Hamacher
JMLR
2010
195views more  JMLR 2010»
15 years 5 months ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
KBSE
2010
IEEE
15 years 5 months ago
A visual interactive debugger based on symbolic execution
We present the concepts, usage, and prototypic implementation of a new kind of visual debugging tool based on symbolic execution of Java source code called visual symbolic state d...
Reiner Hähnle, Marcus Baum, Richard Bubel, Ma...
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