Sökning: "adaptable learning"

Visar resultat 1 - 5 av 16 avhandlingar innehållade orden adaptable learning.

1. 1. Designing for Adaptable Learning

   Författare :Amir Haj-Bolouri; Lars Svensson; Thomas Winman; Per Flensburg; Högskolan Väst; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Design; action design research; design science research; information systems; integration work; civic orientation; work-integrated learning; e-learning; adaptable learning; Work Integrated Learning; Arbetsintegrerat lärande; Informatik; Informatics;

   Sammanfattning : The research in this thesis emphasizes the endeavor of designing for adaptable learning. Designing for adaptable learning is understood as an overall response to designing for integration work. Designing for integration work is thus classified as a special case of designing for adaptable learning. LÄS MER

3. 2. Data-Efficient Learning of Semantic Segmentation

   Författare :David Nilsson; Mathematical Imaging Group; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; semantic segmentation; embodied learning; active learning; semantic video segmentation; computer vision; deep learning;

   Sammanfattning : Semantic segmentation is a fundamental problem in visual perception with a wide range of applications ranging from robotics to autonomous vehicles, and recent approaches based on deep learning have achieved excellent performance. However, to train such systems there is in general a need for very large datasets of annotated images. LÄS MER

4. 3. Learning in the Loop : On Neural Network-based Model Predictive Control and Cooperative System Identification

   Författare :Rebecka Winqvist; Bo Wahlberg; Cristian R. Rojas; Axel Ringh; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Learning; Model Predictive Control; System Identification; Optimal Transport; Inlärning; Modellprediktiv reglering; Systemidentifiering; Optimal transport; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : Inom reglerteknik har integrationen av maskininlärningsmetoder framträtt som en central strategi för att förbättra prestanda och adaptivitet hos styrsystem. Betydande framsteg har gjorts inom flera viktiga aspekter av reglerkretsen, såsom inlärningsbaserade metoder för systemidentifiering och parameterskattning, filtrering och brusreducering samt reglersyntes. LÄS MER

5. 4. Automated Malware Detection and Classification Using Supervised Learning

   Författare :Raja Muhammad Khurram Shahzad; Niklas Lavesson; Martin Boldt; Welf Löwe; Blekinge Tekniska Högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Malware Detection; Android Malware; Machine Learning; Static Malware Analysis; Cyber Security; Ensemble learning; Supervised Learning; Feature Selection; Computer Science; Datavetenskap;

   Sammanfattning : Malware has been one of the key concerns for Information Technology security researchers for decades. Every year, anti-malware companies release alarming statistics suggesting a continuous increase in the number and types of malware. LÄS MER

7. 5. Safe, human-like, decision-making for autonomous driving

   Författare :Dapeng Liu; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; human-like behaviors.; imitation learning; Autonomous driving; reinforcement learning; decision making; safety;

   Sammanfattning : Autonomous driving technology can significantly improve transportation by saving lives and social costs and increasing traffic efficiency and availability. Decision-making is a critical component of driving ability. Complex traffic environments and interactions between road users bring about many challenges in decision-making. LÄS MER