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TenLa: an approach based on controllable tensor decomposition and optimized lasso regression for judgement prediction of legal cases.
Xiaoding Guo
Hongli Zhang
Lin Ye
Shang Li
Published in:
Appl. Intell. (2021)
Keyphrases
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legal cases
tensor decomposition
linear regression
model selection
auxiliary information
data representation
least squares
high order
regression model
practical reasoning
gaussian processes
legal reasoning
tensor factorization
feature selection
image classification
low rank