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Sampsa Laine

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2000 – 2009

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2005
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  - journals/ijns/SimilaL05
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Timo Similä, Sampsa Laine:
Visual approach to supervised variable selection by self-organizing map. Int. J. Neural Syst. 15(1-2): 101-110 (2005)
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César Fernández Peris, Sampsa Laine, Óscar Reinoso, Maria Asunción Vicente:
Improving the Readability of Decision Trees Using Reduced Complexity Feature Extraction. IEA/AIE 2005: 442-444
2004
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Sampsa Laine, Timo Similä:
Using SOM-Based Data Binning to Support Supervised Variable Selection. ICONIP 2004: 172-180
2003
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Sampsa Laine:
Using visualization, variable selection and feature extraction to learn from industrial data. Helsinki University of Technology, Finland, 2003

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