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The bayesian pursuit algorithm: A new family of estimator learning automata
(Lecture Notes in Computer Science;6704, Chapter; Peer reviewed, 2011)The fastest Learning Automata (LA) algorithms currently available come from the family of estimator algorithms. The Pursuit algorithm (PST), a pioneering scheme in the estimator family, obtains its superior learning speed ... -
The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality
(Peer reviewed; Journal article, 2016)The fundamental phenomenon that has been used to enhance the convergence speed of learning automata (LA) is that of incorporating the running maximum likelihood (ML) estimates of the action reward probabilities into the ... -
The differences between tutor and student perceptions of design elements in online courses
(Master thesis, 2017)The purpose of this study is to examine tutor and student perceptions of how design elements are implemented in online courses. The four elements collaboration, motivation, digital tools and course structure are discussed ... -
The Dreaming Variational Autoencoder for Reinforcement Learning Environments
(Journal article; Peer reviewed, 2018)Reinforcement learning has shown great potential in generalizing over raw sensory data using only a single neural network for value optimization. There are several challenges in the current state-of-the-art reinforcement ... -
The EU project “United4Health”: Results and experiences from automatic health status assessment in a Norwegian telemedicine trial system
(Journal article; Peer reviewed, 2017)Introduction Patients with chronic obstructive pulmonary disease require help in daily life situations to increase their individual perception of security, especially under worsened medical conditions. Unnecessary hospital ... -
The fundamental theory of optimal "Anti-Bayesian" parametric pattern classification using order statistics criteria
(Journal article; Peer reviewed, 2013)The gold standard for a classifier is the condition of optimality attained by the Bayesian classifier. Within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature ... -
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions
(Chapter; Peer reviewed, 2018) -
The Impact of Gender Equality in the Cybersecurity Sector
(Master thesis, 2023)Nowadays, there is a shortage of cybersecurity professionals in the sector and women are disproportionately underrepresented in the field. This exploratory study examines how organizations can retain and entice women in ... -
The Impact of Gender Equality in the Cybersecurity Sector
(Master thesis, 2023)Nowadays, there is a shortage of cybersecurity professionals in the sector and women are disproportionately underrepresented in the field. This exploratory study examines how organizations can retain and entice women in ... -
The Impact of Human Walking on the Time-Frequency Distribution of In-Home Radio Channels
(Chapter; Peer reviewed, 2018) -
The impact of shadowing and the severity of fading on the first and second order statistics of the capacity of OSTBC MIMO Nakagami-lognormal channels
(Journal article; Peer reviewed, 2011)This article presents a thorough statistical analysis of the capacity of orthogonal space-time block coded (OSTBC) multiple-input multiple-output (MIMO) Nakagami- lognormal (NLN) channels. The NLN channel model allows to ... -
The impact of spatial correlation on the statistical properties of the capacity of Nakagami-m channels with MRC and EGC
(Journal article; Peer reviewed, 2011)In this article, we have studied the statistical properties of the instantaneous channel capacitya of spatially correlated Nakagami-m channels for two different diversity combining methods, namely maximal ratio combining ... -
The Maritime Pickup and Delivery Problem with Cost and Time Window Constraints : System Modeling and A* Based Solution
(Master thesis, 2019)In the ship chartering business, more and more shipment ordersare based on pickup and delivery in an on-demand manner ratherthan conventional scheduled routines. In this situation, it is nec-essary to ... -
The Potential and Limitations of the Tsetlin Machine in Model-Free Reinforcement Learning
(Master thesis, 2023)This paper aims to investigate the potential of model-free reinforcement learning using the Tsetlin Machine by evaluating its performance in widely recognized benchmark environments for reinforcement learning: Cartpole and ... -
The Potential and Limitations of the Tsetlin Machine in Model-Free Reinforcement Learning
(Master thesis, 2023)This paper aims to investigate the potential of model-free reinforcement learning using the Tsetlin Machine by evaluating its performance in widely recognized benchmark environments for reinforcement learning: Cartpole and ... -
The Science and Art of Chaotic Pattern Recognition
(Chapter; Peer reviewed, 2016) -
The Technology Use and Information Flow at a Municipal Telemedicine Service
(Journal article; Peer reviewed, 2018)Health care services face challenges with providing individualised treatment to an ageing population prone to chronic conditions and multi-morbidities. The research project Patients and Professionals in Productive Teams ... -
Thompson sampling guided stochastic searching on the line for deceptive environments with applications to root-finding problems
(Peer reviewed; Journal article, 2019) -
Threat to information security : the system vulnerability and denial of service attacks
(Master thesis, 2004)The use of the Internet has increased drastically the last few years. This trend has led to a constant increase in attacks toward computer systems and networks, and the methods for attacking are becoming more and more ... -
Throughput and delay analysis of HARQ with code combining over double Rayleigh fading channels
(Journal article; Peer reviewed, 2018)