🏢 School of Computing, Macquarie University
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data
·2081 words·10 mins·
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AI Generated
Machine Learning
Transfer Learning
🏢 School of Computing, Macquarie University
I-Div accurately quantifies distribution discrepancy between training and test datasets without test labels, enabling reliable hypothesis applicability evaluation in complex scenarios.
Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting
·1994 words·10 mins·
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Machine Learning
Deep Learning
🏢 School of Computing, Macquarie University
Revolutionizing long-term time series forecasting, a new Fourier Basis Mapping method enhances accuracy by precisely interpreting frequency coefficients and considering time-frequency relationships, a…