Tshilidzi Marwala

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University of Johannesburg

Professor of Artificial Intelligence, University of Johannesburg

Nano Version Control and Robots of Robots: Data Driven, Regenerative Production Code

A reflection of the Corona pandemic highlights the need for more sustain...
10/10/2021 ∙ by Lukasz Machowski, et al. ∙ 0 ∙ share

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Antithetic Riemannian Manifold And Quantum-Inspired Hamiltonian Monte Carlo

Markov Chain Monte Carlo inference of target posterior distributions in ...
07/05/2021 ∙ by Wilson Tsakane Mongwe, et al. ∙ 0 ∙ share

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Predicting Higher Education Throughput in South Africa Using a Tree-Based Ensemble Technique

We use gradient boosting machines and logistic regression to predict aca...
06/12/2021 ∙ by Rendani Mbuvha, et al. ∙ 0 ∙ share

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Healing Products of Gaussian Processes

Gaussian processes (GPs) are nonparametric Bayesian models that have bee...
02/14/2021 ∙ by Samuel Cohen, et al. ∙ 0 ∙ share

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An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection

We present an Automatic Relevance Determination prior Bayesian Neural Ne...
01/06/2020 ∙ by Rendani Mbuvha, et al. ∙ 12 ∙ share

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Relative Net Utility and the Saint Petersburg Paradox

The famous St Petersburg Paradox shows that the theory of expected value...
10/21/2019 ∙ by Daniel Muller, et al. ∙ 21 ∙ share

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Automatic Relevance Determination Bayesian Neural Networks for Credit Card Default Modelling

Credit risk modelling is an integral part of the global financial system...
06/14/2019 ∙ by Rendani Mbuvha, et al. ∙ 5 ∙ share

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Relative rationality: Is machine rationality subjective?

Rational decision making in its linguistic description means making logi...
02/13/2019 ∙ by Tshilidzi Marwala, et al. ∙ 4 ∙ share

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Can rationality be measured?

This paper studies whether rationality can be computed. Rationality is d...
12/25/2018 ∙ by Tshilidzi Marwala, et al. ∙ 20 ∙ share

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The limit of artificial intelligence: Can machines be rational?

This paper studies the question on whether machines can be rational. It ...
12/16/2018 ∙ by Tshilidzi Marwala, et al. ∙ 0 ∙ share

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On Robot Revolution and Taxation

Advances in artificial intelligence are resulting in the rapid automatio...
08/05/2018 ∙ by Tshilidzi Marwala, et al. ∙ 0 ∙ share

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Creativity and Artificial Intelligence: A Digital Art Perspective

This paper describes the application of artificial intelligence to the c...
07/21/2018 ∙ by Bo Xing, et al. ∙ 0 ∙ share

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Blockchain and Artificial Intelligence

It is undeniable that artificial intelligence (AI) and blockchain concep...
02/13/2018 ∙ by Tshilidzi Marwala, et al. ∙ 0 ∙ share

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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...
09/18/2017 ∙ by Satyakama Paul, et al. ∙ 0 ∙ share

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Rational Choice and Artificial Intelligence

The theory of rational choice assumes that when people make decisions th...
03/29/2017 ∙ by Tshilidzi Marwala, et al. ∙ 0 ∙ share

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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...
07/01/2016 ∙ by Collins Leke, et al. ∙ 0 ∙ share

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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 ...
12/04/2015 ∙ by Collins Leke, et al. ∙ 0 ∙ share

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Artificial Intelligence and Asymmetric Information Theory

When human agents come together to make decisions, it is often the case ...
10/10/2015 ∙ by Tshilidzi Marwala, et al. ∙ 0 ∙ share

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Causal Model Analysis using Collider v-structure with Negative Percentage Mapping

A major problem of causal inference is the arrangement of dependent node...
09/16/2015 ∙ by Pramod Kumar Parida, et al. ∙ 0 ∙ share

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Rational Counterfactuals

This paper introduces the concept of rational countefactuals which is an...
04/08/2014 ∙ by Tshilidzi Marwala, et al. ∙ 0 ∙ share

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Applying the Negative Selection Algorithm for Merger and Acquisition Target Identification

In this paper, we propose a new methodology based on the Negative Select...
08/10/2013 ∙ by Satyakama Paul, et al. ∙ 0 ∙ share

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Flexibly-bounded Rationality and Marginalization of Irrationality Theories for Decision Making

In this paper the theory of flexibly-bounded rationality which is an ext...
06/09/2013 ∙ by Tshilidzi Marwala, et al. ∙ 0 ∙ share

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Semi-bounded Rationality: A model for decision making

In this paper the theory of semi-bounded rationality is proposed as an e...
05/26/2013 ∙ by Tshilidzi Marwala, et al. ∙ 0 ∙ share

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Fuzzy Inference Systems Optimization

This paper compares various optimization methods for fuzzy inference sys...
10/15/2011 ∙ by Pretesh Patel, et al. ∙ 0 ∙ share

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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...
12/18/2010 ∙ by George Anderson, et al. ∙ 0 ∙ share

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Use of Data Mining in Scheduler Optimization

The operating system's role in a computer system is to manage the variou...
11/08/2010 ∙ by George Anderson, et al. ∙ 0 ∙ share

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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...
10/13/2009 ∙ by Evan Hurwitz, et al. ∙ 0 ∙ share

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Finite element model selection using Particle Swarm Optimization

This paper proposes the application of particle swarm optimization (PSO)...
10/12/2009 ∙ by Linda Mthembu, et al. ∙ 0 ∙ share

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Automatic Detection of Pulmonary Embolism using Computational Intelligence

This article describes the implementation of a system designed to automa...
06/03/2007 ∙ by Simon Scurrell, et al. ∙ 0 ∙ share

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Evolutionary Optimisation Methods for Template Based Image Registration

This paper investigates the use of evolutionary optimisation techniques ...
05/11/2007 ∙ by Lukasz A Machowski, et al. ∙ 0 ∙ share

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An Independent Evaluation of Subspace Face Recognition Algorithms

This paper explores a comparative study of both the linear and kernel im...
05/07/2007 ∙ by Dhiresh R. Surajpal, et al. ∙ 0 ∙ share

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Rough Sets Computations to Impute Missing Data

Many techniques for handling missing data have been proposed in the lite...
04/26/2007 ∙ by Fulufhelo Vincent Nelwamondo, et al. ∙ 0 ∙ share

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Tshilidzi Marwala

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