
ClosedForm Expressions for Global and Local Interpretation of Tsetlin Machines with Applications to Explaining HighDimensional Data
Tsetlin Machines (TMs) capture patterns using conjunctive clauses in pro...
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The Dreaming Variational Autoencoder for Reinforcement Learning Environments
Reinforcement learning has shown great potential in generalizing over ra...
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Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks
In this paper, we propose a model for the Environment Sound Classificati...
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Deep RTS: A Game Environment for Deep Reinforcement Learning in RealTime Strategy Games
Reinforcement learning (RL) is an area of research that has blossomed tr...
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Inference of SpatioTemporal Functions over Graphs via MultiKernel Kriged Kalman Filtering
Inference of spacetime varying signals on graphs emerges naturally in a...
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Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to RootFinding Problems
The multiarmed bandit problem forms the foundation for solving a wide r...
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An Optimal Bayesian Network Based Solution Scheme for the Constrained Stochastic Online EquiPartitioning Problem
A number of intriguing decision scenarios revolve around partitioning a ...
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Bayesian Unification of Gradient and Banditbased Learning for Accelerated Global Optimisation
Bandit based optimisation has a remarkable advantage over gradient based...
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Adaptive Task Assignment in Online Learning Environments
With the increasing popularity of online learning, intelligent tutoring ...
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Learning Power Spectrum Maps from Quantized Power Measurements
Power spectral density (PSD) maps providing the distribution of RF power...
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The Tsetlin Machine  A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic
Although simple individually, artificial neurons provide stateofthear...
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Concurrent Computing with Shared Replicated Memory
The behavioural theory of concurrent systems states that any concurrent ...
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A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks
In this paper, we apply a new promising tool for pattern classification,...
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Deep QLearning with QMatrix Transfer Learning for Novel Fire Evacuation Environment
We focus on the important problem of emergency evacuation, which clearly...
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Towards Modelbased Reinforcement Learning for Industrynear Environments
Deep reinforcement learning has over the past few years shown great pote...
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Performance Evaluation of the LoRa Protocol in the context of Smart Meter
In recent years, the use of Low Power Wide Area Network (LPWAN) is incre...
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A Tsetlin Machine with Multigranular Clauses
The recently introduced Tsetlin Machine (TM) has provided competitive pa...
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Accurate Graph Filtering in Wireless Sensor Networks
Wireless sensor networks (WSNs) are considered as a major technology ena...
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Extending the Tsetlin Machine With IntegerWeighted Clauses for Increased Interpretability
Despite significant effort, building models that are both interpretable ...
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An Exploratory Study of COVID19 Misinformation on Twitter
Although a lot of correct and useful information is shared through chann...
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A Novel MultiStep FiniteState Automaton for Arbitrarily Deterministic Tsetlin Machine Learning
Due to the high energy consumption and scalability challenges of deep le...
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Universitetet Agder
003222 The University of Agder, formerly known as Agder College and Agder University College, is a public university with campuses in Kristiansand and Grimstad, Norway.