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Multi-label learning deals with the problem where each training example is associated with a set of labels simultaneously, with the set of labels corresponding to multiple concepts or semantic meanings. Intuitively, the multiple labels are usually correlated in some semantic space while sharing the same input space. As a consequence, the multi-label learning process can be augmented significantly...
Time-Frequency analysis of band-limited signals received significant attention in biomedical research. As most bio-signals are non-stationary, time-frequency analysis is essential to analyze the characteristics of the signal. To accurately model the band-limited bio-signal, band-limited multiple Fourier linear combiner (BMFLC), a linear combination of truncated multiple Fourier series models is employed...
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