Open AccessA SOM Based Model Combination Strategy
Author(s) -
Cristofer Englund,
Antanas Verikas
Publication year - 2005
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/11427391_73
Subject(s) - computer science , outlier , artificial intelligence , feature (linguistics) , point (geometry) , data mining , pattern recognition (psychology) , machine learning , mathematics , philosophy , linguistics , geometry
A SOM based model combination strategy, allowing to create adaptive – data dependent – committees, is proposed. Both, models included into a committee and aggregation weights are specific for each input data point analyzed. The possibility to detect outliers is one more characteristic feature of the strategy
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