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stat.ML2023
Exponentially Convergent Algorithms for Supervised Matrix Factorization
Joowon Lee, Hanbaek Lyu, Weixin Yao
Supervised matrix factorization (SMF) is a classical machine learning method that simultaneously seeks feature extraction and classification tasks, which are not necessarily a prio…
stat.ML2023
Supervised low-rank semi-nonnegative matrix factorization with frequency regularization for forecasting spatio-temporal data
Keunsu Kim, Hanbaek Lyu, Jinsu Kim +1
We propose a novel methodology for forecasting spatio-temporal data using supervised semi-nonnegative matrix factorization (SSNMF) with frequency regularization. Matrix factorizati…