Optimal Transforms of Random Vectors. This proposal focusses on development of optimal transforms to describe and model nonlinear phenomena when only statistical information is known. An optimal transform is a mathematical procedure that enables us to process information in a way that is most suited to the task in hand. These transforms have been successfully used in approximation, information theory, communications, control theory and signal and image processing. Applications include modelli ....Optimal Transforms of Random Vectors. This proposal focusses on development of optimal transforms to describe and model nonlinear phenomena when only statistical information is known. An optimal transform is a mathematical procedure that enables us to process information in a way that is most suited to the task in hand. These transforms have been successfully used in approximation, information theory, communications, control theory and signal and image processing. Applications include modelling of physical, chemical and biological systems, filtering and compression of signals and data classification and clustering. We propose two new hybrid models for realistic transforms in a general structural framework.
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Managing and Mining Evolving Ontologies through combining Patterns Languages and Data Mining. Data mining offers insight into the substantial and growing repositories of medical data while pattern languages offer the ability to provide a high level conceptual designs of an artifact or process. This project thus promises to facilitate, on the one hand, the discovery of medical knowledge from large quantities of clinical or epidemiological data, while also providing a better way of constructing a ....Managing and Mining Evolving Ontologies through combining Patterns Languages and Data Mining. Data mining offers insight into the substantial and growing repositories of medical data while pattern languages offer the ability to provide a high level conceptual designs of an artifact or process. This project thus promises to facilitate, on the one hand, the discovery of medical knowledge from large quantities of clinical or epidemiological data, while also providing a better way of constructing and validating medically oriented design patterns which can then be used in medical data collection systems.Read moreRead less