Franz Josef Radermacher

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Pearl's "Probabilistic Reasoning in Intelligent Systems" is elegantly done seminal work on uncertainty, probabilistic reasoning and all things related inference. As the author says, "This book is a culmination of an investigation into the applicability of probabilistic methods to task requiring automated reasoning under uncertainty", it covers topics on all(More)
data types allow the formal specification of model interfaces (e.g. time series, sparse matrix representation) that will be provided to store model inputs and intermediate results efficiently. the representation of relationships among the above mentioned objects as data base objects. A classification scheme of such relationships is being defined based on(More)