Class-conditioned Gaussian mixture quantifier for imbalanced time series quantification (CC-GMNet-TS) unfolds a Transformer-based feature extractor to estimate class prevalences
Read the original at arxiv.org→arXiv:2608.21473v1 Announce Type: new Abstract: Quantification, estimating class prevalences in bags of unlabeled instances is vital in domains where aggregate statistics are more important than individual instance...
Original headline: "Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series Quantification"
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- Aug 25, 04:00 UTC arXiv cs.LG lead source Class-Conditioned Gaussian Mixture Modeling for Imbalanced Time Series Quantification