Search for dissertations about: "Adaptive Learning"
Showing result 1 - 5 of 202 swedish dissertations containing the words Adaptive Learning.
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1. Learning Together, Leading Change : Understanding Collective Learning in Social Entrepreneurial Organisations
Abstract : This dissertation aims to generate an understanding of collective learning in social entrepreneurial organisations in Sweden, especially during the COVID-19 pandemic. Employing a collective learning-centred perspective, I want to explore the following key areas: a) the learning conditions and organising processes entailed in becoming a social entrepreneur and creating a social entrepreneurial organisation, b) the importance of collective learning for organisational adaptation and change in tackling exogenous factors such as the COVID-19 pandemic, and c) the role of leadership in creating conditions conducive to collective learning processes in social entrepreneurial organisations during the COVID-19 pandemic. READ MORE
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2. Learning-by-modeling : Novel Computational Approaches for Exploring the Dynamics of Learning and Self-governance in Social-ecological Systems
Abstract : As a consequence of global environmental change, sustainable management and governance of natural resources face critical challenges, such as dealing with non-linear dynamics, increased resource variability, and uncertainty. This thesis seeks to address some of these challenges by using simulation models. READ MORE
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3. Sharing to learn and learning to share : Fitting together metalearning and multi-task learning
Abstract : This thesis focuses on integrating learning paradigms that ‘share to learn,’ i.e., Multitask Learning (MTL), and ‘learn (how) to share,’ i.e. READ MORE
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4. Towards Robust and Adaptive Machine Learning : A Fresh Perspective on Evaluation and Adaptation Methodologies in Non-Stationary Environments
Abstract : Machine learning (ML) has become ubiquitous in various disciplines and applications, serving as a powerful tool for developing predictive models to analyze diverse variables of interest. With the advent of the digital era, the proliferation of data has presented numerous opportunities for growth and expansion across various domains. READ MORE
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5. Approaches to Interactive Online Machine Learning
Abstract : With the Internet of Things paradigm, the data generated by the rapidly increasing number of connected devices lead to new possibilities, such as using machine learning for activity recognition in smart environments. However, it also introduces several challenges. READ MORE