Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 2 of 2 for “"cross-domain learning"”.
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Graph-based approaches for semi-supervised and cross-domain sentiment analysis
… has moved towards developing semi-supervised and crossdomain techniques. Semi-supervised approaches still need some labelled data and their e ectiveness is largely determined by the amount of these data, whereas cross-domain approaches usually perform poorly if training data are very di erent from …
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Learning Representations for Limited and Heterogeneous Medical Data
… heterogeneity are challenges of representation learning for machine learning in medicine due to the diversity of medical data and the expense of data collection and annotation. To learn generalizable representations from such limited and heterogeneous medical data, we aim to utilize various …