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 7 of 7 for “"Supervised learning (Machine learning)"”.
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Semi-Supervised Learning for Scalable and Robust Visual Search
… two classes of approaches: graph-based semi-supervised learning and hashing techniques. The graph-based approaches are used to improve accuracy, while hashing approaches are used to improve efficiency and cope with large-scale applications. A common theme shared between these two subareas of …
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Predicting Suicide Risk Among Youths Using Machine Learning Methods
… cause of death among youths in the USA. Although machine learning approaches have provided great potential for predicting suicide risk using survey data, prediction accuracy may not meet the need for clinical diagnosis due to the intrinsic characteristics of datasets. In this study, I perform a …
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Assembly of Life Cycle Inventories using Physical Models and Supervised Learning to support Sustainable Process Development in the Pharmaceutical Industry
… Part II builds on this conclusion by applying supervised learning algorithms to historical process data from an industrial wastewater neutralisation system employed at a bio-pharmaceutical manufacturing site. A proof-of-concept predictive tool was developed to estimate gate-to-gate LCIs and …
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Information filtering by multiple examples
… the studies on SBME adopt the Positive Unlabeled learning (PU learning) techniques by treating the user's provided examples (denoted as query examples) as positive set and the entire data collection in the database as unlabeled set. User's information need is then represented as a query vector, …