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Leveraging pre-trained models for kernel machines
DOI:10.1016/j.patcog.2025.111961.png)
Abstract
En 中文
• A novel method is proposed to infer new kernel machines by using pre-trained models. • Pre-training-based kernel machine inferring is built upon theoretical foundations. • Experiments verify its superior training and prediction performance over baselines.
Journal
IF:
7.6
Papers:
1.3W
Citations:
4.5W
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No organization information available

