Random forest och glesa datarespresentationer

Random forest och glesa datarespresentationer

In silico experimentation is the process of using computational and statistical models to predict medicinal properties in chemicals; as a means of reducing lab work and increasing success rate this process has become an important part of modern drug development. There are various ways of representin...

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Bibliographic Details
Main Authors: Linusson, Henrik, Rudenwall, Robin, Olausson, Andreas
Format: Others
Language:English
Published: Högskolan i Borås, Institutionen Handels- och IT-högskolan 2012
Subjects:
data mining
machine learning
regression
classification
in silico modeling
random forest
sparse data
feature selection
Engineering and Technology
Teknik och teknologier
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16672

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16672

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