Search for dissertations about: "learning from errors"

Showing result 1 - 5 of 94 swedish dissertations containing the words learning from errors.

  2. 1. Adding Challenge to a Teachable Agent in a Virtual Learning Environment

    Author : Camilla Kirkegaard; Agneta Gulz; Annika Silvervarg; Björn Johansson; Lena Pareto; Linköpings universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; educational technology; educational software; teachable agents; learning;

    Abstract : The topic of this thesis concerns what happens when challenging behavior is added to a teachable agent in a virtual learning environment. The aim of adding challenging behavior to teachable agents is to encourage students to engage in learning behaviors, improve their motivation and engagement, which may result in a deeper level of comprehension and an improved learning experience. READ MORE

  4. 2. Environmental Modelling : Learning from Uncertainty

    Author : John M. Juston; Per-Erik Jansson; Jens Christian Refsgaard; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Models; data; error; uncertainty; hydrology; soil carbon; wetlands; phosphorus;

    Abstract : Environmental models are important tools; however uncertainty is pervasive in the modeling process.   Current research has shown that under­standing and representing these uncertainties is critical when decisions are expected to be made from the modeling results. READ MORE

  5. 3. On Supervisor Synthesis via Active Automata Learning

    Author : Ashfaq Hussain Farooqui; Chalmers tekniska högskola; []
    Keywords : 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;

    Abstract : 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. READ MORE

  6. 4. Learning about the unobservable : The role of attitudes, measurement errors, norms and perceptions in user behaviour

    Author : Juan Manuel Lorenzo Varela; Yusak Susilo; R. Daniel Jonsson; Maria Börjesson; Soora Rasouli; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Attitudes; Measurement errors; Discrete choice analysis; Latent variables; Model misspecification; Normative beliefs; Rail factor; User perceptions; Social norms; Value of travel time savings; Transportvetenskap; Transport Science;

    Abstract : Unobservable factors are important to understand user behaviour. Moreover, they contain information to help design services that willsolve today’s challenges. Yet, we have barely scratched the surface ofthe underlying mechanisms ruling user behaviour. READ MORE

  7. 5. Multispectral Remote Sensing and Deep Learning for Wildfire Detection

    Author : Xikun Hu; Yifang Ban; Ioannis Gitas; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; active fire detection; biome; multi-criteria; Sentinel-2; Landsat-8; burned area mapping; deep learning; semantic segmentation; machine learning.; aktiv branddetektering; biom; multikriterietillvägagångssätt; Sentinel-2; Landsat-8; kartläggning av bränt område; djupinlärning; semantisk segmentering; maskininlärningsmetoderna; Geoinformatik; Geoinformatics;

    Abstract : Remote sensing data has great potential for wildfire detection and monitoring with enhanced spatial resolution and temporal coverage. Earth Observation satellites have been employed to systematically monitor fire activity over large regions in two ways: (i) to detect the location of actively burning spots (during the fire event), and (ii) to map the spatial extent of the burned scars (during or after the event). READ MORE