Search for dissertations about: "Högskolan I Skövde"

Showing result 1 - 5 of 160 swedish dissertations containing the words Högskolan I Skövde.

  1. 1. A multi-objective evolutionary approach to simulation-based optimisation of real-world problems

    Author : Anna Syberfeldt; Philip Moore; Robert I. John; Amos Ng; Högskolan i Skövde; []
    Keywords : Evolutionary algorithms; simulation-based optimisation; multi-objective optimisation; noise; TECHNOLOGY; TEKNIKVETENSKAP; Teknik; Technology;

    Abstract : This thesis presents a novel evolutionary optimisation algorithm that can improve the quality of solutions in simulation-based optimisation.Simulation-based optimisation is the process of finding optimal parameter settings without explicitly examining each possible configuration of settings. READ MORE

  2. 2. Visualizing Cluster Patterns at Scale : A Model and a Library

    Author : Elio Ventocilla; Maria Riveiro; Göran Falkman; Rafael M. Martins; Katerina Vrostou; Högskolan i Skövde; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Visual analytics; cluster patterns; big data; unsupervised learning; multidimensional projections; vector quantization; progressive visual analytics; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Abstract : Large quantities of data are being collected and analyzed by companies and institutions, with the aim of extracting knowledge and value. When little is known about the data at hand, analysts engage in exploratory data analysis to achieve a better understanding. READ MORE

  3. 3. Distributed and federated learning of support vector machines and applications

    Author : Shirin Tavara; Alexander Schliep; Alexander Karlsson; Lili Jiang; Högskolan i Skövde; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Abstract : Machine Learning (ML) has achieved remarkable success in solving classification, regression, and related problems over the past decade. In particular the exponential growth of digital data, makes using ML inevitable and necessary to exploit the wealth of information hidden inside the data. READ MORE

  4. 4. Predictors of mental health in adolescents - with a salutogenic perspective

    Author : Kristina Carlén; Sakari Suominen; Lilly Augustine; Matti Sillanpää; Einar Røshol Heiervang; Högskolan i Skövde; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; adolescents; DAWBA; mental health; predictors; resources; salutogenesis; Familjecentrerad hälsa FamCeH ; Family-Centred Health;

    Abstract : Mental health in adolescence is an increasing public health concern. Over half of all mental disorders debut by 14 years of age and remain largely untreated up to adulthood, which underlines the importance of early detection. READ MORE

  5. 5. Towards Privacy Preserving Micro-data Analysis : A machine learning based perspective under prevailing privacy regulations

    Author : Navoda Senavirathne; Vicenç Torra; Maria Riveiro; Sonja Buchegger; Högskolan i Skövde; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data anonymization; data privacy; privacy-preserving machine learning; privacy preserving data publishing; personal data protection; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

    Abstract : Machine learning (ML) has been employed in a wide variety of domains where micro-data (i.e., personal data) are used in the training process. READ MORE