Abstract: Confidence calibration in classification models is a vital technique for accurately estimating the posterior probabilities of predicted results, which is crucial for assessing the likelihood ...
Our knowledge of the structure and composition of genomes has progressed in pace with their sequencing. As was expected early on 1, TEs have been found in virtually all eukaryotic species investigated ...
Abstract: Class Incremental Learning (CIL) for image classification aims to address real-world scenarios by allowing a model to learn new categories while retaining the knowledge of old categories. It ...
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WASHINGTON, Sept 11 (Reuters) - Less than four months ago, President Donald Trump met with the leader of Qatar, praising his opulent palace and signing a sweeping defense agreement with the Gulf ...
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