Blar i NTNU Open på forfatter "Langseth, Helge"
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Predicting Outcomes of Association Football Matches Based on Individual Players' Performance
Linde, Johanne Birgitte; Løkketangen, Marius (Master thesis, 2014)This master's thesis concludes our five years study in Computer Science, at the Norwegian University of Science and Technology.Predicting the outcome of football matches is a research area where it is possible to earn a ... -
Predicting Stock Prices Using Technical Analysis and Machine Learning
Larsen, Jan Ivar (Master thesis, 2010)Historical stock prices are used to predict the direction of future stock prices. The developed stock price prediction model uses a novel two-layer reasoning approach that employs domain knowledge from technical analysis ... -
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
Saleh Salem, Tárik; Langseth, Helge; Ramampiaro, Heri (Peer reviewed; Journal article, 2020)Prediction intervals are a machine- and human-interpretable way to represent predictive uncertainty in a regression analysis. In this paper, we present a method for generating prediction intervals along with point estimates ... -
Prediction of Classifier Performance using Data Set Characteristics
Bjørklund Lassen, Tore (Master thesis, 2015)In machine learning, choosing a suitable algorithm for solving a particular problem is often a question of trial and error. A method for predicting the performance of various algorithms on the data set could potentially ... -
Probabilistic Models with Deep Neural Networks
Masegosa, Andres; Cabañas, Rafael; Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio (Peer reviewed; Journal article, 2021)Recent advances in statistical inference have significantly expanded the toolbox of probabilistic modeling. Historically, probabilistic modeling has been constrained to very restricted model classes, where exact or approximate ... -
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) -
Profiting from Football Betting using Artificial Neural Networks
Nielsen, Eirik Skjellum; Sandøy, Sander Fagerland (Master thesis, 2019)Markedet for fotballtipping er enormt, og mange tippeselskaper lar håpefulle spillere plassere veddemål på omtrent alle aspekter av en kamp. Det mest populære ved- demålet er å spille på kampens sluttresultat. Å ... -
Profiting from Football Betting using Artificial Neural Networks
Sandøy, Sander Fagerland; Nielsen, Eirik Skjellum (Master thesis, 2019)Markedet for fotballtipping er enormt, og mange tippeselskaper lar håpefulle spillere plassere veddemål omtrent alle aspekter av en kamp. Det mest populære veddemålet er å spille på kampens sluttresultat. Å forutsi disse ... -
Programming a Hearthstone agent using Monte Carlo Tree Search
Andersson, Markus Heikki; Hesselberg, Håkon Helgesen (Master thesis, 2016)This thesis describes the effort of adapting Monte Carlo Tree Search (MCTS) to the game of Hearthstone, a card game with hidden information and stochastic elements. The focus is on discovering the suitability of MCTS for ... -
Recognizing Text Signatures Using Neural Machine Translation
Gautvedt, Thomas (Master thesis, 2017)Optical character recognition (OCR) is a technology used to convert scanned text into searchable data. OCR systems have achieved up to 99% recognition rates when working with clean and well-formatted documents under optimal ... -
A Reparameterization of Mixtures of Truncated Basis Functions and its Applications
Salmeron, Antonio; Langseth, Helge; Masegosa, Andres; Nielsen, Thomas D. (Peer reviewed; Journal article, 2022)Mixtures of truncated basis functions (MoTBFs) are a popular tool within the context of hybrid Bayesian networks, mainly because they are compatible with e_cient probabilistic inference schemes. However, their standard ... -
Reservoir computing in-materio: Emergence and control in unstructured and structured materials
Jensen, Johannes Høydahl (Doctoral theses at NTNU;2021:373, Doctoral thesis, 2021)This thesis is an exploration of novel material substrates for computation. Guided by the principles of material computation, we investigate what computations a material supports naturally. The goal is to perform computation ... -
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 ... -
RF Emitter geolocation using PDOA algorithms and UAVs - A strategy from emitter detection to location prediction
Engebråten, Sondre Andreas (Master thesis, 2015)In this thesis, I explored strategies for locating an RF emitter. Expanding on an idea conceived at Norwegian Defence Research Establishment (FFI), of using small, cheap RSS sensors and Unmanned Aerial Vehicles (UAVs) to ... -
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks
Ramos-López, Dario; Masegosa, Andres; Salmeron, Antonio; Rumi, Rafael; Langseth, Helge; Nielsen, Thomas D.; Madsen, Anders L. (Journal article; Peer reviewed, 2018)In this paper we propose a scalable importance sampling algorithm for computing Gaussian mixture posteriors in conditional linear Gaussian Bayesian networks. Our contribution is based on using a stochastic gradient ascent ... -
Scaling up Bayesian variational inference using distributed computing clusters
Masegosa, Andres; Martinez, Ana M.; Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio; Ramos-López, Dario (Journal article; Peer reviewed, 2017)In this paper we present an approach for scaling up Bayesian learning using variational methods by exploiting distributed computing clusters managed by modern big data processing tools like Apache Spark or Apache Flink, ... -
Simulation of Small-Scale Autonomous Helicopters: Testing autopilot performance by realistic models and constraints in a virtual world
Larsen, Andreas (Master thesis, 2010)Helicopter flight simulator software designed to develop stable methods of autopilot control logic and benchmark the performance with different sensor configurations and navigation scenarios. -
Skippy: Agents learning how to play curling
Aannevik, Frode; Robertsen, Jan Erik (Master thesis, 2009)In this project we seek to explore whether it is possible for an artificial agent to learn how to play curling. To achieve this goal we developed a simulator that works as an environment where different agents can be tested ... -
The Betting Machine
Andresen, Thomas Rene; Dubicki, Damian (Master thesis, 2013)The popularity of football has increased excessively since it originated, and inlater years, systems to predict football results have become a popular area ofresearch. Based on information found during a specialization ... -
The Betting Machine: Using in-depth match statistics to compute future probabilities of football match outcomes using the Gibbs sampler
Ellefsrød, Martin Belgau (Master thesis, 2013)Football is one of the most, if not the most, popular sporting games in the world, both played and watched by millions of people from all over the world almost daily, certainly weekly. Though most of those who place weekly ...