Sökning: "Statistical Learning"

Visar resultat 1 - 5 av 240 avhandlingar innehållade orden Statistical Learning.

  1. 1. Statistical Learning, Dynamics and Control : Fast Rates and Fundamental Limits for Square Loss

    Författare :Ingvar Ziemann; Henrik Sandberg; Raginsky Maxim; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine Learning; Control Theory; Statistical Learning; Fundamental Limits; Electrical Engineering; Elektro- och systemteknik;

    Sammanfattning : Learning algorithms play an ever increasing role in modern engineering solutions. However, despite many recent successes, their performance in the context of dynamical and control systems is not exactly well-understood. LÄS MER

  3. 2. Developing an educational intervention to support work-integrated learning among professionals in health and social care for individuals with intellectual disabilities

    Författare :Anh Truong; Anette Ekström-Bergström; Catrin Johansson; Helena Antonsson; Thomas Winman; Edith Roth Gjevjon; Högskolan Väst; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Group reflection; Intervention research; Intraprofessional and interprofessional learning; Professional development; Socioconstructivism; Web-based lecture; Gruppreflektion; Interventionsforskning; Intraprofessionellt och interprofessionellt lärande; Professionell utveckling; Sociokonstruktivism; Web-baserad föreläsning; Vårdvetenskap; Nursing science; Work Integrated Learning; Arbetsintegrerat lärande;

    Sammanfattning : Continuing education in the workplace has become a crucial part of contemporary working life, in alignment with modern labor market policies advocating lifelong learning. Work-integrated learning (WIL) is aimed at supporting professional development as part of lifelong learning, emphasizing both theoretical and practical knowledge alongside interactive engagement. LÄS MER

  4. 3. Trustful Relationships and School Development

    Författare :Ulf Jederlund; Rune Hausstätter; Tatjana von Rosen; Pär Larsson; Roald A. Øien; Stockholms universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; trust; school development; collective learning; relational competence; relational pedagogy; teacher-student relationship quality; student self-efficacy; school trust; tillit; skolutveckling; kollektivt lärande; relationskompetens; relationell pedagogik; lärar-elevrelationer; elevers självtillit i skolan; skoltillit; specialpedagogik; Special Education;

    Sammanfattning : Methods other than averages from national tests, grades and levels of eligibility for higher education to evaluate the quality of education and school development are called for. In this dissertation is examined how a conscious effort to develop trustful relationships and mutual interaction among all actors in schools may contribute to increased well-being, community and strengthened learning processes for both students and teachers. LÄS MER

  5. 4. Visual Analytics for Explainable and Trustworthy Machine Learning

    Författare :Angelos Chatzimparmpas; Andreas Kerren; Rafael M. Martins; Ilir Jusufi; Alex Endert; Linnéuniversitetet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visualization; interaction; visual analytics; explainable machine learning; XAI; trustworthy machine learning; ensemble learning; dimensionality reduction; supervised learning; unsupervised learning; ML; AI; tabular data; visualisering; interaktion; visuell analys; förklarlig maskininlärning; XAI; pålitlig maskininlärning; ensembleinlärning; dimensionesreducering; övervakad inlärning; oövervakad inlärning; ML; AI; tabelldata; Computer Science; Datavetenskap; Informations- och programvisualisering; Information and software visualization;

    Sammanfattning : The deployment of artificial intelligence solutions and machine learning research has exploded in popularity in recent years, with numerous types of models proposed to interpret and predict patterns and trends in data from diverse disciplines. However, as the complexity of these models grows, it becomes increasingly difficult for users to evaluate and rely on the model results, since their inner workings are mostly hidden in black boxes, which are difficult to trust in critical decision-making scenarios. LÄS MER

  7. 5. Statistical Feature Selection : With Applications in Life Science

    Författare :Roland Nilsson; Jesper Tegnér; Johan Björkegren; Sepp Hochreiter; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine learning; supervised learning; classification; dimemsionality reduction; multiple testing; gene expression; microarray; cancer; Bioinformatics; Bioinformatik;

    Sammanfattning : The sequencing of the human genome has changed life science research in many ways. Novel measurement technologies such as microarray expression analysis, genome-wide SNP typing and mass spectrometry are now producing experimental data of extremely high dimensions. LÄS MER