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» Some Structural Complexity Aspects of Neural Computation
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ACSC
2005
IEEE
14 years 2 months ago
The Geodesic Self-Organizing Map and Its Error Analysis
The Self-Organizing Map (SOM) is one of the popular Artificial Neural Networks which is a useful in clustering and visualizing complex high dimensional data. Conventional SOMs are...
Yingxin Wu, Masahiro Takatsuka
IJAR
2011
88views more  IJAR 2011»
13 years 4 months ago
A framework for reasoning under uncertainty based on non-deterministic distance semantics
Abstract. In this paper, we introduce a general and modular framework for formalizing reasoning with incomplete and inconsistent information. Our framework is composed of non-deter...
Ofer Arieli, Anna Zamansky
COCOA
2010
Springer
13 years 4 months ago
Termination of Multipartite Graph Series Arising from Complex Network Modelling
An intense activity is nowadays devoted to the definition of models capturing the properties of complex networks. Among the most promising approaches, it has been proposed to model...
Matthieu Latapy, Thi Ha Duong Phan, Christophe Cre...
DGCI
2000
Springer
14 years 1 months ago
A New Means for Investigating 3-Manifolds
The paper presents a new method of investigating topological properties of three-dimensional manifolds by means of computers. Manifolds are represented as finite cell complexes. Th...
Vladimir Kovalevsky
CAD
2006
Springer
13 years 9 months ago
An efficient, error-bounded approximation algorithm for simulating quasi-statics of complex linkages
Design and analysis of articulated mechanical structures, commonly referred to as linkages, is an integral part of any CAD/CAM system. The most common approaches formulate the pro...
Stephane Redon, Ming C. Lin