Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks
Keyword(s):
We present a novel classification and regression method that combines exploratory projection pursuit (unsupervised training) with projection pursuit regression (supervised training), to yield a new family of cost/complexity penalty terms. Some improved generalization properties are demonstrated on real-world problems.
2008 ◽
Vol 92
(1)
◽
pp. 92-99
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2005 ◽
Vol 48
(1)
◽
pp. 47-55
Projection Pursuit Regression Based on Hermite Polynomial for Atmospheric Corrosion Data Application
2014 ◽
Vol 881-883
◽
pp. 1747-1753
2014 ◽
Vol 551
◽
pp. 365-369
Acoustic lung signals analysis based on Mel frequency cepstral coefficients and self-organizing maps
2016 ◽
Vol 25
(43)
◽
pp. 73-82
Keyword(s):
2014 ◽
Vol 533
◽
pp. 44-47