Portfolio analysis is benefiting from the surge of alternative sources of data coupled with new modelling frameworks, introduced by machine-learning. I collected alternative data and applied new frameworks (machine-learning ...
The ascent of the current industrial revolution known as Industry 4.0 (I40) or smart
manufacturing is considerably impacting the manufacturing sector with the utilization of more
intelligent and advanced practices such ...
Cloete, I; Theron, H(South African Institute of Computer Scientists and Information Technologists, 1991)
Quinlan's ID3 is a popular and efficient algorithm for inducing decision trees from concept examples, where the examples are presented as vectors of attribute-value pairs. If some attributes have integer or real domains ...
Differential Evolution is an optimization technique of stochastic search for a population-based vector, which is powerful and efficient over a continuous space for solving differentiable and non-linear optimization problems. ...
Paijmans, H(South African Computer Society (SAICSIT), 1999)
This paper describes some experiments with the automated attribution of authorship. Lexical cohesion in combination with machine learning techniques are used as a method to compare texts of different authors. A methodology ...
Deep learning has successfully been applied in computer vision, including in image classification,
object recognition and detection, and in image segmentation in applications
such as remote sensing, scene understanding, ...
Brand loyalty is seen as a repeat purchase and also the ability to recommend services or products. Telecommunication service providers require loyal customers to stay in business.
The current thesis examines the impact ...
Recently, there have been various attempts to combine the strengths of
similarity-based learning (SBL) and explanation-based learning (EBL) in a single learning system.
We describe a graph-based learning method called ...
Oosthuizen, GD; Avenant, C(South African Institute of Computer Scientists and Information Technologists, 1992)
Recently, there have been various attempts to combine the strengths of similarity-based learning (SBL) and explanation-based learning (EBL) in a single learning system. We describe a graph-based learning method called ...
As developing nations like South Africa chart a path of socio-economic
development, the spatialisation of progress, opportunity, and neglect is a critical antecedent to policy-making and regional interventionism. Efforts ...
Multi-channel messaging (MCM) systems have been implemented to integrate heterogeneous
messaging channels for message delivery to Financial Services Institutions (FSIs) customers
worldwide. However, implementations ...
The study of MicroRNAs (miRNAs), long non-coding RNAs (lncRNAs) and gene interactions may be expected to provide new technologies to serve as valuable biomarkers for personalized treatments of diseases and to aid in the ...
Data mining is the process of extracting informative patterns from data stored in a database or data warehouse. Decision tree induction algorithms, from the area of machine learning are well suited for building classification ...
Expert systems apply Artificial Intelligence (AI) techniques to an application area, aiming (usually) to mimic the behaviour of a human expert. However, there are some AI techniques which can be used to improve the internal ...
Artificial neural networks (ANNs) have been proven to be successful general machine
learning techniques for, amongst others, pattern recognition and classification. Realworld
problems in agriculture (soybean, tea), ...
Rekenaars kan ’n nuttige rol speel in vertaling. Twee benaderings
is vertaalgeheuestelsels en masjienvertaalstelsels. By
hierdie twee tegnologieë word ’n vertaalgeheue gebruik—’n
tweetalige versameling vorige vertalings. ...
Software quality ensures that applications that are developed are failure free. Some modern systems are intricate, due to the complexity of their information processes. Software fault prediction is an important quality ...
Paijmans, H(South African Computer Society (SAICSIT), 1998)
A number of methods for feature reduction and feature selection in text classification and information retrieval systems are compared. These include feature sets that are constructed by Latent Semantic Indexing, 'local ...