Titlebook: Membrane Computing; 9th International Wo David Wolfe Corne,Pierluigi Frisco,Arto Salomaa Conference proceedings 2009 Springer-Verlag Berlin

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e modeling with model-based user interface development.DevelThis book proposes a combination of cognitive modeling with model-based user interface development to tackle the problem of maintaining the usability of applications that target several device types at once (e.g., desktop PC, smart phone, s

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Vincent Danos,Jérôme Féret,Walter Fontana,Russell Harmer,Jean Krivineof applications that target several device types at once (e.g., desktop PC, smart phone, smart TV). Model-based applications provide interesting meta-information about the elements of the user interface (UI) that are accessible through computational introspection. Cognitive user models can capitaliz

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Paulien Hogewegomers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses descriptive and diagnostic analysis, Data Science unlocks new opportunities through predictive and prescriptive analysis.

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Parosh Aziz Abdulla,Giorgio Delzanno,Laurent Van Beginedict Euclidian structured data (i.e., image), which causes them to fail when handling . data (e.g., brain graphs). Besides, these do not naturally account for domain fracture between training source and target data distributions and generally ignore any hierarchical structure that might be present

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Artiom Alhazov,Maurice Margenstern,Sergey Verlannisms in foods to environmental factors (e.g., temperature, pH) through mathematical functions. These functions enable scientists to predict the behavior of pathogens and spoilage microorganisms under different combinations of factors. The main goal of predictive models in food science is to assure

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Markus Beyreder,Rudolf Freundnisms in foods to environmental factors (e.g., temperature, pH) through mathematical functions. These functions enable scientists to predict the behavior of pathogens and spoilage microorganisms under different combinations of factors. The main goal of predictive models in food science is to assure

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