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ESANN
2006
15 years 1 months ago
Weighted differential topographic function: a refinement of topographic function
Topology preservation of Self-Organizing Maps (SOMs) is an advantageous property for correct clustering. Among several existing measures of topology violation, this paper studies t...
Lili Zhang, Erzsébet Merényi
IJON
2002
84views more  IJON 2002»
14 years 11 months ago
On the generative probability density model in the self-organizing map
The Self-Organizing Map, SOM, is a widely used tool in exploratory data analysis. A major drawback of the SOM has been the lack of a theoretically justified criterion for model se...
Timo Kostiainen, Jouko Lampinen
NECO
1998
116views more  NECO 1998»
14 years 11 months ago
GTM: The Generative Topographic Mapping
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
Christopher M. Bishop, Markus Svensén, Chri...
SASO
2009
IEEE
15 years 6 months ago
Myconet: A Fungi-Inspired Model for Superpeer-Based Peer-to-Peer Overlay Topologies
Abstract—Unstructured peer-to-peer networks can be extremely flexible, but, because of size, complexity, and high variability in peers’ capacity and reliability, it is a conti...
Paul L. Snyder, Rachel Greenstadt, Giuseppe Valett...
SASO
2009
IEEE
15 years 6 months ago
MOCAS: A State-Based Component Model for Self-Adaptation
This paper introduces MOCAS (Model Of Components for Adaptive Systems), a generic state-based component model which enables the self-adaptation of software components together wit...
Cyril Ballagny, Nabil Hameurlain, Franck Barbier