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» On the Complexity of Model Expansion
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ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 9 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
CGI
2004
IEEE
14 years 1 months ago
A Versatile and Robust Model for Geometrically Complex Deformable Solids
In this paper, we present a versatile and robust model for geometrically complex deformable solids. Our approach can be applied to deformable tetrahedral meshes and to deformable ...
Matthias Teschner, Bruno Heidelberger, Matthias M&...
COLING
2008
13 years 11 months ago
Modeling the Structure and Dynamics of the Consonant Inventories: A Complex Network Approach
We study the self-organization of the consonant inventories through a complex network approach. We observe that the distribution of occurrence as well as cooccurrence of the conso...
Animesh Mukherjee, Monojit Choudhury, Anupam Basu,...
CDC
2009
IEEE
122views Control Systems» more  CDC 2009»
13 years 8 months ago
Reduced complexity models in the identification of dynamical networks: Links with sparsification problems
In many applicative scenarios it is important to derive information about the topology and the internal connections of more dynamical systems interacting together. Examples can be ...
Donatello Materassi, Giacomo Innocenti, Laura Giar...
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
14 years 4 months ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...