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GRC
2010
IEEE
13 years 8 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
CORR
2007
Springer
104views Education» more  CORR 2007»
13 years 7 months ago
The Parameter-Less Self-Organizing Map algorithm
—The parameterless self-organizing map (PLSOM) is a new neural network algorithm based on the self-organizing map (SOM). It eliminates the need for a learning rate and annealing ...
Erik Berglund, Joaquin Sitte
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
14 years 21 days ago
MILA - Multilevel Immune Learning Algorithm
The biological immune system is an intricate network of specialized tissues, organs, cells, and chemical molecules. T-cell-dependent humoral immune response is one of the complex i...
Dipankar Dasgupta, Senhua Yu, Nivedita Sumi Majumd...
IEEECIT
2010
IEEE
13 years 6 months ago
Reform and Practice in the Course ???The Principle of Computer Organization???
—This paper introduces several new guiding ideologies in “the Principle of Computer Organization” course reform, based on the purpose of application-oriented personnel traini...
Qifan Yang, Jianping Cai