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Feature selection,
L
1
vs.
L
2
regularization, and rotational invariance
Home
Publications
Feature selection,
L
1
vs.
L
2
regularization, and rotational invariance
Feature selection,
L
1
vs.
L
2
regularization, and rotational invariance
AN
Andrew Y. Ng
Andrew Y. Ng
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1 January 2004
conference paper
conference paper
Published by
Association for Computing Machinery (ACM)
p.
78
https://doi.org/10.1145/1015330.1015435
Abstract
No abstract available
Keywords
BAYESIAN ESTIMATION
FEATURE SELECTION
MARKOV PROCESSES
NEURAL NETWORK
BIAS
SUPERVISED LEARNING
LOWER BOUND
BACKPROPAGATION
REINFORCEMENT LEARNING
VARIANCE
LOGISTIC REGRESSION
Cited by 626 articles