Sökning: "modular learning"

Visar resultat 1 - 5 av 29 avhandlingar innehållade orden modular learning.

1. 1. Modularization of the Learning Architecture : Supporting Learning Theories by Learning Technologies

   Författare :Fredrik Paulsson; Yngve Sundblad; Miguel Angel-Cecilia; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Technology Enhanced Learning; e-learning; Semantic Web; Service Orientation; Learning Object; Virtual Learning Environment; Computer science; Datavetenskap;

   Sammanfattning : This thesis explores the role of modularity for achieving a better adaptation of learning technology to pedagogical requirements. In order to examine the interrelations that occur between pedagogy and computer science, a theoretical framework rooted in both fields is applied. LÄS MER

3. 2. Sharing to learn and learning to share : Fitting together metalearning and multi-task learning

   Författare :Richa Upadhyay; Marcus Liwicki; Ronald Phlypo; Rajkumar Saini; Atsuto Maki; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Multi-task learning; Meta learning; transfer learning; knowledge sharing algorithms; Machine Learning; Maskininlärning;

   Sammanfattning : This thesis focuses on integrating learning paradigms that ‘share to learn,’ i.e., Multitask Learning (MTL), and ‘learn (how) to share,’ i.e. LÄS MER

4. 3. Modular Learning and Optimization for Planning of Discrete Event Systems

   Författare :Fredrik Hagebring; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; discrete optimization; large-scale optimization; modular learning; automation; discrete event systems; active learning; Compositional optimization;

   Sammanfattning : Optimization of industrial processes, such as manufacturing cells, can have great impact on their performance. Finding optimal solutions to these large-scale systems is, however, a complex problem. They typically include multiple subsystems, and the search space generally grows exponentially with each subsystem. LÄS MER

5. 4. On Supervisor Synthesis via Active Automata Learning

   Författare :Ashfaq Hussain Farooqui; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Supervisory control theory; Finite-state machines; Active learning; Model learning; Automata learning; Discrete-event systems;

   Sammanfattning : Our society's reliance on computer-controlled systems is rapidly growing. Such systems are found in various devices, ranging from simple light switches to safety-critical systems like autonomous vehicles. In the context of safety-critical systems, safety and correctness are of utmost importance. LÄS MER

7. 5. Unchaining Microservice Chains : Machine Learning Driven Optimization in Cloud Native Systems

   Författare :Michel Gokan Khan; Javid Taheri; Andreas Kassler; Stefan Schulte; Karlstads universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Cloud Native Computing; Service Mesh; Performance Modelling; Performance Optimization; Performance Simulation; Machine Learning; Resource Allocation; Computer Science; Datavetenskap;

   Sammanfattning : As the cloud native landscape flourishes, microservices emerge as a central pillar for contemporary software development, enabling agility, resilience, and scalability in modern computing environments. While these modular services promise opportunities, particularly in the transformative ecosystem of 5G and beyond, they also introduce a myriad of complexities. LÄS MER