闡述了遷移學(xué)習(xí)方法及其在阿爾茨海默病早期診斷研究領(lǐng)域中的應(yīng)用.首先,對(duì)遷移學(xué)習(xí)方法在阿爾茨海默病分類診斷研究中的應(yīng)用進(jìn)行了分析.接著,介紹了遷移學(xué)習(xí)相關(guān)的理論知識(shí).然后,詳細(xì)介紹了基于遷移學(xué)習(xí)算法在阿爾茨海默病診斷研究中的進(jìn)展,分別從基于樣本的遷移、基于特征的遷移和基于模型的遷移等三方面進(jìn)行了分析.最后,提出了當(dāng)前遷移學(xué)習(xí)在該領(lǐng)域存在的問(wèn)題和挑戰(zhàn)以及未來(lái)發(fā)展趨勢(shì).

【文章頁(yè)數(shù)】：10 頁(yè)

【文章目錄】：
0 Introduction
2 Transfer learning
3 Application oftransfer learning in AD/MCI diagnosis
    3.1 Application of instance-based transfer learning method in AD diagnosis
    3.2 Application of feature-based transfer learning method in AD diagnosis
    3.3 Application of model-based transfer learning method in AD diagnosis research
    3.4 Application analysis
4 Future challenges and perspectives
    4.1 Challenges and problems
    4.2 Perspectives
        (1) Similarity measure between source sample and target sample
        (2) Global difference Measurement of data Distribution between Source sample and Target sample



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