FEW SHOT LEARNING FOR KOREAN WINTER TEMPERATURE FORECASTS

Few shot learning for Korean winter temperature forecasts

Abstract To address the challenge of limited training samples, this study employs the model-agnostic meta-learning (MAML) algorithm along with domain-knowledge-based data augmentation to predict winter temperatures on the Korean Peninsula.While data augmentation has been achieved by using global climate model simulations, the proposed augmentation

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Progression of metastatic castrate-resistant prostate cancer: impact of therapeutic intervention in the post-docetaxel space

Abstract Despite the proven success of hormonal therapy for prostate cancer using chemical or surgical castration, most patients eventually will progress to a phase of the disease that is metastatic and shows resistance to further hormonal manipulation.This has been termed metastatic castrate-resistant prostate cancer (mCRPC).Despite this designati

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