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Syntactical Self-Organizing Map
1997In this paper a new neural network structure, called Syntactical Self-Organizing Map (SSOM), is introduced. SSOM is obtained from classical (numerical) Kohonen neural network and is specifically for classifying the syntactical structures, like: strings, trees or graphs.
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Paths of Wellbeing on Self-Organizing Maps
2013In this article, we introduce the concept of pathways of wellbeing and examine how such paths can be discovered from large data sets using the self-organizing map. Data sets used in the illustrative experiments include measurements of physical fitness and subjective assessments related to diagnosing work stress.
Krista Lagus +6 more
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A Bayesian Analysis of Self-Organizing Maps
Neural Computation, 1994In this paper Bayesian methods are used to analyze some of the properties of a special type of Markov chain. The forward transitions through the chain are followed by inverse transitions (using Bayes' theorem) backward through a copy of the same chain; this will be called a folded Markov chain.
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Self-organizing maps for internal representations
Psychological Research, 1990One of the biological mechanisms that has so far been poorly understood is the ability of the brain to form representations of primary sensory experiences at increasingly higher levels of abstraction. At many lower perceptual levels, sensory information first becomes represented in topographically ordered sensory maps.
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2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), 2022
Hiroshi Dozono +2 more
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Hiroshi Dozono +2 more
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Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine
, 2017Fa-Ming Huang +4 more
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IEEE Transactions on Evolutionary Computation, 2018
Fangqing Gu, Yiu-ming Cheung
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Fangqing Gu, Yiu-ming Cheung
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