Author:Peter, C; De Lange, Willem J; Musango, JK; April, K; Potgieter, ADate:Dec 2009Socioeconomic and ecological systems exhibit complex, interdependent behaviour which is often difficult to model and understand. This is due to the complex reorganisation of key sub-system processes involving nonlinear, cross-scale and ...Read more
Author:Botha, L; Meyer, Thomas; Penaloza, RDate:Oct 2018Description Logics (DLs) that support uncertainty are not as well studied as their crisp alternatives, thereby limiting their use in real world domains. The Bayesian DL BEL and its extensions have been introduced to deal with uncertain knowledge ...Read more
Author:De Waal, AJ; Ritchey, TDate:Dec 2007Morphological analysis (MA) and Bayesian networks (BN) are two closely related modelling methods, each of which has its advantages and disadvantages for strategic decision support modelling. MA is a method for defining, linking and evaluating ...Read more
Author:Koen, Hildegarde; De Villiers, Johan P; Roodt, H; De Waal, ADate:Mar 2017A significant challenge in ecological modelling is the lack of complete sets of high-quality data. This is especially true in the rhino poaching problem where data is incomplete. Although there are many poaching attacks, they can be spread ...Read more
Author:de Waal, ADate:27 Feb 2006Complex systems can be described as systems-of-systems as they comprise a hierarchy of systems. The links between sub-systems are often obscure and non-linear and this results in a lack of a whole-systems view and appropriate understanding ...Read more
Author:Barnard, E; Van der Walt, Christiaan M; Davel, M; Van Heerden, C; Senekal, FP; Naidoo, TDate:Nov 2009Bayesian networks have shown themselves to be useful tools for the analysis and modelling of large data sets. However, their complete generality leads to computational and modelling complexities that have limited their applicability. We propose ...Read more
Author:Ajoodha, R; Rosman, Benjamin SDate:Feb 2018The recent widespread of availability of sensors, as part of the IoT, presents the opportunity to learn the properties of compound distributions in practical applications. Understanding temporal distributions by observations collected from ...Read more
Author:Claessens, R; De Waal, A; De Villiers, P; Penders, A; Pavlin, G; Tuyls, KDate:May 2015The proposed framework for Multi-Agent Target Tracking supports i) tracking of objects and ii) search and rescue based on the fusion of very heterogeneous data. The system is based on a novel approach to fusing sensory observations, intelligence ...Read more
Author:De Waal, AJ; Louis, AL; Venter, JPDate:Oct 2006Named Entity Recognition (NER) is the process of identifying occurrences of words or expressions as belonging to a particular category of a Named Entity (NE).The aim of the project was to test the feasibility of a probabilistic NER system ...Read more
Author:Venter, JP; Van Waveren, CCDate:Aug 2007The development of new and improved management methods for new product development is important. Existing methods suffer from a number of shortcomings, especially the ability to deal with a mixture of quantitative and qualitative data. The ...Read more
Author:Venter, Jacobus P; Van Waveren, CCDate:Jun 2009The development of new and improved management methods for new product development is important. Existing methods suffer from a number of shortcomings, especially their inability to deal with a mixture of quantitative and qualitative data. ...Read more
Author:Osunmakinde, I; Bagula, ADate:Apr 2009The authors propose a generalized model with configurable discretizer actuators as a solution to the problem of the discretization of massive numerical datasets. Their solution is based on a concurrent distribution of the actuators and uses ...Read more
Author:Ajoodha, R; Rosman, Benjamin SDate:Nov 2017Current structure learning practices in Bayesian networks have been developed to learn the structure between observable variables and learning latent parameters independently. One exception establishes a variant of EM for learning the structure ...Read more