Browsing Institutt for datateknologi og informatikk by Author "Aamodt, Agnar"
Now showing items 41-60 of 62
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Integrating Case-based and Bayesian Reasoning for Decision Support
Gravem, Anne-Marit (Master thesis, 2010)In this thesis, we present an approach to integration of case-based reasoning and Bayesian reasoning for decision support. Our design is meant to provide physicians with decision support in the context of palliative care ... -
Integrating CBR and BN for Decision Making with Imperfect Information: Exemplified by Texas Hold'em Poker
Unger, Sebastian Helstad (Master thesis, 2011)Texas Hold'em poker provides an interesting test-bed for AI research with characteristics such as uncertainty and imperfect information, which can also be found in domains like medical decision making. Poker introduces ... -
Knowledge acquisition and modelling for knowledge-intensive CBR
Bakke, Elise (Master thesis, 2005)This thesis contains a study of state of the art knowledge acquisition modelling principles and methods for modelling general domain knowledge. This includes Newell's knowledge level, knowledge level modelling, Components ... -
Leak Detection in Water Distribution Networks using Gated Recurrent Neural Networks
Bjerke, Martin (Master thesis, 2019)I denne masteroppgaven har to forskjellige Gated Recurrent Neural Network-arkitekturer blitt testet på det multivariable tidsserie klassifikasjonsproblemet, lekkasjedeteksjon i vannfordelingsnettverk. Tre ulike ... -
Learning Distance Functions in k-Nearest Neighbors
Fosseng, Sigurd (Master thesis, 2013)Normally the distance function used in classification in the k-Nearest Neighbors algorithm is the euclidean distance. This distance function is simple and has been shown to work on many different datasets. We propose a ... -
Learning similarity measures from data
Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge; Bach, Kerstin (Journal article; Peer reviewed, 2019)Defining similarity measures is a requirement for some machine learning methods. One such method is case-based reasoning (CBR) where the similarity measure is used to retrieve the stored case or a set of cases most similar ... -
Mixed Attribute Types in Similarity Measures in the Retrieval Step of Case-based Reasoning
Berdal, Ole (Master thesis, 2019)Et nytt forskningsområde er utfordringen med å beregne likhet på heterogene attributter, samt transformere mellom kategoriske og numeriske verdier. Forskningen som er beskrevet i denne rapporten vil omhandle feltet kunstig ... -
Mobile User Interface for a patient-centered health care application
Stokvik, Linn Kristin (Master thesis, 2017)Low back pain is a prevalent issue in the developed world as people adopt a more sedentary lifestyle. This thesis gives insight to available interactive health communication applications for self-managing non-specific low ... -
Prediction of personalized speed skating results using Case-Based Reasoning
Bergman, Olof Andreas (Master thesis, 2019)Case-based reasoning (CBR) er en metodikk for problemløsning som de siste årene har blitt brukt i forskning for idrett. CBR er et intelligent opplevelsesbasert system, som baserer seg på teorien om at lignende problemer ... -
Problem solving in uncertain domains by a Bayesian supported knowledge-intensive case-based reasoning method
Nikpour, Hoda (Doctoral theses at NTNU;2021:349, Doctoral thesis, 2021) -
Reasoning with sequences of events in knowledge-intensive CBR
Brede, Tore (Master thesis, 2005)Denne oppgaven presenterer et rammeverk for representasjon av og resonnering med temporale data i CBR-systemet TrollCreek. Slik funksjonalitet vil forbedre TrollCreek s ytelse innenfor prediksjonsproblemer, det vil si: ... -
Representing and reasoning with constraints in Creek
Stige, Martin (Master thesis, 2006)This work studies constraint mechanisms in frame-based knowledge representation systems with the aim of improving the knowledge modelling abilities of the TrollCreek system. TrollCreek is an implementation of Creek, an ... -
Representing and reasoning with constraints in Creek
Stige, Martin (Master thesis, 2006)This work studies constraint mechanisms in frame-based knowledge representation systems with the aim of improving the knowledge modelling abilities of the TrollCreek system. TrollCreek is an implementation of Creek, an ... -
Reuse of Past Games for Move Generation in Computer Go
Houeland, Tor Gunnar Høst (Master thesis, 2008)Go is an ancient two player board game that has been played for several thousand years. Despite its simple rules, the game requires players to form long-term strategic plans and also possess strong tactical skills to handle ... -
Reusing External Library Components in the Creek CBR System
Stiklestad, Erik (Master thesis, 2007)The Creek system has an architecture that facilitates combined case-based and model-based reasoning. The jColibri system, developed by the CBR group of Universidad Complutense in Madrid, contains a library of CBR system ... -
Segmentation of Medical Images Using CBR
Rieck, Christian Marshall (Master thesis, 2007)This paper describes a case based reasoning system that is used to guide the parameters of a segmentation algorithm. Instead of using a fixed set of parameters that gives the best average result over all images, the ... -
Steps towards an empirically responsible AI: a methodological and theoretical framework
Svedberg, Peter O.S. (Master thesis, 2004)Initially we pursue a minimal model of a cognitive system. This in turn form the basis for the development of amethodological and theoretical framework. Two methodological requirements of the model are that explanation be ... -
Tactile-sensitive robotic grasping of food compliant objects with deep learning as a learning policy
Olofsson, Alexander Martin (Master thesis, 2017)This thesis outlines work done in generating models used to control a robotic arm and tactile sensitive gripper for successfully grasping compliant food objects, using colour and depth images as input. The compliant food ... -
Unconventional Biometrics
Barbosa, Igor Barros (Doctoral theses at NTNU;2020:262, Doctoral thesis, 2020)This thesis is a paper collection that focuses on unconventional methods of biometric recognition. Four new approaches are presented and discussed. The first two introduce and explore the concepts behind transient biometrics. ... -
Using extended siamese networks to provide decision support in aquaculture operations
Mathisen, Bjørn Magnus; Bach, Kerstin; Aamodt, Agnar (Peer reviewed; Journal article, 2021)Aquaculture as an industry is quickly expanding. As a result, new aquaculture sites are being established at more exposed locations previously deemed unfit because they are more difficult and resource demanding to safely ...