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Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression.
Aryan Gulati
Xingjian Dong
Carlos Hurtado
Sarath Shekkizhar
Swabha Swayamdipta
Antonio Ortega
Published in:
CoRR (2024)
Keyphrases
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kernel regression
soft clustering
regression model
multi source
nadaraya watson
parameter optimization
neural network
linear regression
machine learning
information extraction
clustering algorithm
similarity measure
control system
probabilistic model
regression methods