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» Robustness and modular structure in networks
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IDA
1998
Springer
14 years 9 months ago
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Sylvian R. Ray, William H. Hsu
BMCBI
2010
109views more  BMCBI 2010»
14 years 9 months ago
Functional characterization and topological modularity of molecular interaction networks
Background: Analyzing interaction networks for functional characterization poses significant challenges arising from the noisy, incomplete, and generic nature of both the interact...
Jayesh Pandey, Mehmet Koyutürk, Ananth Grama
91
Voted
ICRA
2005
IEEE
148views Robotics» more  ICRA 2005»
15 years 3 months ago
Developing a Modular Active Spherical Vision System
- This paper introduces a modular, real-time, omnidirectional, active vision system, as well as a constructed prototype. By combining omnidirectional and active pan-tilt cameras, a...
Nicholas D. Jankovic, Michael D. Naish
89
Voted
ICANN
2005
Springer
15 years 3 months ago
Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks
Abstract. The paper presents a new version of a GMDH type algorithm able to perform an automatic model structure synthesis, robust model parameter estimation and model validation i...
Tatyana I. Aksenova, Vladimir Volkovich, Alessandr...
89
Voted
IJON
2006
160views more  IJON 2006»
14 years 9 months ago
Attractor dynamics in a modular network model of the cerebral cortex
ional models of cortical associative memory often take a top-down approach. We have previously described such an abstract model with a hypercolumnar structure. Here we explore a s...
Mikael Lundqvist, Martin Rehn, Anders Lansner