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About the Event: The concepts, paradigms, algorithms, and implementation of CI and its constituent methodologies – evolutionary computation, neural networks and fuzzy logic – are the focus of this course. In addition, there is an emphasis on practical applications throughout, that is, how to apply the concepts, paradigms, algorithms, and implementations discussed to practical problems […]
About the Event: The course introduces the theory and practice of neural computation. It provides the principles of neurocomputing with artificial neural networks widely used for addressing real-world problems such as classification, regression, system identification, pattern recognition, data mining, time-series prediction, etc. Artificial neural network models are inspired by biological neural networks. The course begins […]
About the Event: Working with high dimensional data? Often facing the need to group observations? This presentation is for you. Segmentation should be balanced and distinctive, the discovered over- and under-indexed features within segments should create a meaningful story, and, ideally, the amount of differentiative factors that drives segmentation should be small. The last requirement […]