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08/31/2023
The Use of Synthetic Data to Train AI Models: Opportunities and Risks for Sustainable Development
In the current data driven era, synthetic data, artificially generated d...
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04/08/2023
MphayaNER: Named Entity Recognition for Tshivenda
Named Entity Recognition (NER) plays a vital role in various Natural Lan...
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11/17/2022
Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic
Streamflow observation data is vital for flood monitoring, agricultural,...
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10/10/2021
Nano Version Control and Robots of Robots: Data Driven, Regenerative Production Code
A reflection of the Corona pandemic highlights the need for more sustain...
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07/05/2021
Antithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo
Markov Chain Monte Carlo inference of target posterior distributions in ...
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06/12/2021
Predicting Higher Education Throughput in South Africa Using a Tree-Based Ensemble Technique
We use gradient boosting machines and logistic regression to predict aca...
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02/14/2021
Healing Products of Gaussian Processes
Gaussian processes (GPs) are nonparametric Bayesian models that have bee...
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01/06/2020
An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection
We present an Automatic Relevance Determination prior Bayesian Neural Ne...
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10/21/2019
Relative Net Utility and the Saint Petersburg Paradox
The famous St Petersburg Paradox shows that the theory of expected value...
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06/14/2019
Automatic Relevance Determination Bayesian Neural Networks for Credit Card Default Modelling
Credit risk modelling is an integral part of the global financial system...
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02/13/2019
Relative rationality: Is machine rationality subjective?
Rational decision making in its linguistic description means making logi...
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12/25/2018
Can rationality be measured?
This paper studies whether rationality can be computed. Rationality is d...
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12/16/2018
The limit of artificial intelligence: Can machines be rational?
This paper studies the question on whether machines can be rational. It ...
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08/05/2018
On Robot Revolution and Taxation
Advances in artificial intelligence are resulting in the rapid automatio...
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07/21/2018
Creativity and Artificial Intelligence: A Digital Art Perspective
This paper describes the application of artificial intelligence to the c...
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02/13/2018
Blockchain and Artificial Intelligence
It is undeniable that artificial intelligence (AI) and blockchain concep...
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09/18/2017
Early prediction of the duration of protests using probabilistic Latent Dirichlet Allocation and Decision Trees
Protests and agitations are an integral part of every democratic civil s...
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03/29/2017
Rational Choice and Artificial Intelligence
The theory of rational choice assumes that when people make decisions th...
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07/01/2016
Missing Data Estimation in High-Dimensional Datasets: A Swarm Intelligence-Deep Neural Network Approach
In this paper, we examine the problem of missing data in high-dimensiona...
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12/04/2015
Proposition of a Theoretical Model for Missing Data Imputation using Deep Learning and Evolutionary Algorithms
In the last couple of decades, there has been major advancements in the ...
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10/10/2015
Artificial Intelligence and Asymmetric Information Theory
When human agents come together to make decisions, it is often the case ...
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09/16/2015
Causal Model Analysis using Collider v-structure with Negative Percentage Mapping
A major problem of causal inference is the arrangement of dependent node...
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04/08/2014
Rational Counterfactuals
This paper introduces the concept of rational countefactuals which is an...
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08/10/2013
Applying the Negative Selection Algorithm for Merger and Acquisition Target Identification
In this paper, we propose a new methodology based on the Negative Select...
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06/09/2013
Flexibly-bounded Rationality and Marginalization of Irrationality Theories for Decision Making
In this paper the theory of flexibly-bounded rationality which is an ext...
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05/26/2013
Semi-bounded Rationality: A model for decision making
In this paper the theory of semi-bounded rationality is proposed as an e...
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10/15/2011
Fuzzy Inference Systems Optimization
This paper compares various optimization methods for fuzzy inference sys...
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12/18/2010
Application of Global and One-Dimensional Local Optimization to Operating System Scheduler Tuning
This paper describes a study of comparison of global and one-dimensional...
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11/08/2010
Use of Data Mining in Scheduler Optimization
The operating system's role in a computer system is to manage the variou...
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10/13/2009
State of the Art Review for Applying Computational Intelligence and Machine Learning Techniques to Portfolio Optimisation
Computational techniques have shown much promise in the field of Finance...
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10/12/2009
Finite element model selection using Particle Swarm Optimization
This paper proposes the application of particle swarm optimization (PSO)...
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06/03/2007
Automatic Detection of Pulmonary Embolism using Computational Intelligence
This article describes the implementation of a system designed to automa...
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05/11/2007
Evolutionary Optimisation Methods for Template Based Image Registration
This paper investigates the use of evolutionary optimisation techniques ...
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05/07/2007
An Independent Evaluation of Subspace Face Recognition Algorithms
This paper explores a comparative study of both the linear and kernel im...
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04/26/2007