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Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks.
Guy Hacohen
Daphna Weinshall
Published in:
J. Mach. Learn. Res. (2022)
Keyphrases
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principal components
linear models
neural network
principal component analysis
variable selection
linear model
dimensionality reduction
pattern recognition
gaussian processes
hyperplane
linear regression
feature set
causal relationships
covariance matrix
least squares
classification accuracy
feature space