Titlebook: JobClubs - gemeinsam auf dem Weg zum Traumjob; Eine Inspiration für Christoph Lindinger,Mirjam Ambühl,Vivian Biner Book 2016 Springer Fachm

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Christoph Lindinger,Mirjam Ambühl,Ewa Vasseur,Vivian Binerman-machine interactions. Expressing the rationale behind such a system’s output is an important aspect of human-machine interaction as AI continues to be prominent in general, everyday use-cases. In this paper, we introduce a novel framework integrating Grenander’s pattern theory structures to prod

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Christoph Lindinger,Mirjam Ambühl,Ewa Vasseur,Vivian Biner of multiple models. Also, the top-ranked systems in many data-mining and computer vision competitions use ensembles. Although ensembles are popular, they are opaque and hard to interpret. Explanations make AI systems more transparent and also justify their predictions. However, there has been littl

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Christoph Lindinger,Mirjam Ambühl,Ewa Vasseur,Vivian Binerrn a generative model of the joint distribution of the observed variables, by minimizing the Maximum Mean Discrepancy between generated and observed data. An approximate learning criterion is proposed to scale the computational cost of the approach to linear complexity in the number of observations.

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Christoph Lindinger,Mirjam Ambühl,Ewa Vasseur,Vivian Binerg to some of the attributes in our classification system, summarized in Tables ., ., . and .. The methods in each category are described and discussed. The categories are Decision Tree, Single Decision Tree, Single Altered Decision Tree, Multiple or Combined Decision Trees, Saliency Maps, Post-Hoc S

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