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Showing 1 to 7 of 7 for “"Supervised learning (Machine learning)"”.

  1. Answering complex questions : supervised approaches

    lethbridge

  2. 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 …

    columbia-diss Repository record for Semi-Supervised Learning for Scalable and Robust Visual Search (opens in a new tab)

  3. 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 …

    usm Repository record for Predicting Suicide Risk Among Youths Using Machine Learning Methods (opens in a new tab)

  4. 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 …

    cambridge Repository record for Assembly of Life Cycle Inventories using Physical Models and Supervised Learning to support Sustainable Process Development in the Pharmaceutical Industry (opens in a new tab)

  5. 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, …

    njit Repository record for Information filtering by multiple examples (opens in a new tab)