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Feature Selection for Regression Problems Based on the Morisita Estimator of Intrinsic Dimension: Concept and Case Studies.
Jean Golay
Michael Leuenberger
Mikhail F. Kanevski
Published in:
CoRR (2016)
Keyphrases
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regression problems
feature selection
intrinsic dimension
linear regression
genetic programming
high dimensional data
cross validation
multi task
least squares
input space
dimension reduction
support vector machine
hyperparameters
maximum likelihood
high dimensions
model selection
support vector
learning machines
feature extraction
random forests
text categorization
low dimensional
dimensionality reduction
multi class
machine learning
kernel function
neural network
random sampling
image classification
pattern recognition