Essays about: "delvis övervakad maskininlärning"

Found 3 essays containing the words delvis övervakad maskininlärning.

  1. 1. Anomaly detection for prediction of failures in manufacturing environments : Machine learning based semi-supervised anomaly detection for multivariate time series to predict failures in a CNC-machine

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Felix Boltshauser; [2023]
    Keywords : Machine learning; Anomaly Detection; DeepAnT; ROCKET; OCSVM; manufacturing; predictive maintenance; Maskin inlärning; Anomali Detektion; DeepAnT; ROCKET; OCSVM; tillverkning; prediktivt underhåll;

    Abstract : For manufacturing enterprises, the potential of collecting large amounts of data from production processes has enabled the usage of machine learning for prediction-based monitoring and maintenance of machines. Yet common maintenance strategies still include reactive handling of machine failures or schedule-based maintenance conducted by experienced personnel. READ MORE

  2. 2. A semi-supervised approach to dialogue act classification using K-Means+HMM

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : Elizaveta Sigova; [2016]
    Keywords : dialogue acts; semi-supervised machine learning; dialoghandlingar; delvis övervakad maskininlärning;

    Abstract : Dialogue act (DA) classification is an important step in the process of developing dialog systems. DA classification is a problem usually solved by supervised machine learning (ML) approaches that all require hand labeled data. READ MORE

  3. 3. Detecting Hospital Acquired Infections usingMachine Learning

    University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

    Author : MARKUS NÄSMAN; [2013]
    Keywords : ;

    Abstract : Every year a large number of patients contract infections due to their hospital stay. These infections are a major hazard to patient safety causing increased mortality and morbidity in affected patients. Manual detection and reporting of these infections add to the workload of the medical staff which makes it infeasible to do on a continuous basis. READ MORE