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1	Integrated feature, neighbourhood, and model optimization for personalised modelling and knowledge discovery : a thesis submitted to Auckland University of Technology in fulfillment of the requirements for the degree of Master of Computer and Information Sciences , 2009 / Liang, Wen January 2009 (has links) Thesis (MCIS - Computer and Information Sciences) -- AUT University, 2009. / Includes bibliographical references. Also held in print (xiii, 96 leaves : ill., charts, graphs ; 30 cm.) in the Archive at the City Campus (T 006.31 LIA) Machine learning. Computer simulation.
2	Simulace uzivatele pro statisticke dialogove systemy / User simulation for statistical dialogue systems Michlíková, Vendula January 2015 (has links) The purpose of this thesis is to develop and evaluate user simulators for a spoken dialogue system. Created simulators are operating on dialogue act level. We implemented a bigram simulator as a baseline system. Based on the baseline simulator, we created another bigram simulator that is trained on dialogue acts without slot values. The third implemented simulator is similar to an implemen- tation of a dialogue manager. It tracks its dialogue state and learns a dialogue strategy based on the state using supervised learning. The user simulators are implemented in Python 2.7, in ALEX framework for dialogue system development. Simulators are developed for PTICS application which operates in the domain of public transport information. Simulators are trained and evaluated using real human-machine dialogues collected with PTICS application. 1
3	Strojové učení pro simulovaná vojenská vozidla / Machine Learning for Simulated Military Vehicles Závorka, Kamil January 2021 (has links) Recent research in the field of neural networks has shown that this is a very promising area of artificial intelligence. Results of the research indicate that neural networks are currently able to at least match humans in many areas. One of the intensively researched sectors is the driving of autonomous vehicles. Although most people focus on autonomous vehicles in the real world, this new artificial intelligence can also be beneficial for driving in the digital world. As more and more activities and experiments are being moved from real environments to simulated environments, the demands on the quality of artificial intelligence found in digital environments are also increasing. The aim of this work was to explore the possibilities of artificial intelligence based on deep feedback learning in the field of parking simulated vehicles. Based on this research, we created a prototype neural network and evaluated this prototype during parking in a simulated environment.
4	Machine Learning Driven Simulation in the Automotive Industry Ram Seshadri, Aravind January 2022 (has links) The current thesis investigates data-driven simulation decision-making with field-quality consumer data. This is accomplished by outlining the benefits and uses of combining machine learning and simulation in the literature and by locating barriers to the use of machine learning (ML) in the simulation subsystems at a case study organization. Additionally, an implementation is carried out to demonstrate how Scania departments can use this technology to analyze their current data and produce results that support the exploration of the simulation space and the identification of potential design issues so that preventative measures can be taken during concept development. The thesis' findings provide an overview of the literature on the relationship between machine learning and simulation technologies, as well as limitations of using machine learning in simulation systems at large scale manufacturing organizations. Support vector machines, logistic regression, and Random Forest classifiers are used to demonstrate one possible use of machine learning in simulation. Machine learning in simulation simulation-based machine learning concept development machine learning data-driven design data-driven simulation technology analysis capability analysis technology study design exploitation classification algorithms logistic regression Engineering and Technology Teknik och teknologier

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