Titlebook: Handbuch Facility Management für Immobilienunternehmen; Michaela Hellerforth Book 2006 Springer-Verlag Berlin Heidelberg 2006 Benchmarking

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tality is unpredictable on the basis of clinical appearance alone. Echocardiography is still the optimal, most cost-effective diagnostic bedside tool, allowing the diagnosis to be determined and helping to follow up patients until the final treatment is completed. The proposed new criteria of echoca

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tality is unpredictable on the basis of clinical appearance alone. Echocardiography is still the optimal, most cost-effective diagnostic bedside tool, allowing the diagnosis to be determined and helping to follow up patients until the final treatment is completed. The proposed new criteria of echoca

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intended to minimize future surprise. We show that surprise minimization relying on Bayesian inference can be achieved by filtering of the sufficient statistic time series of exponential family input distributions, and we propose the hierarchical Gaussian filter (HGF) as an appropriate, efficient, a

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errors in the free-energy to simplify the residuals and thresholds generation for fault detection and isolation and does not require additional controllers for fault recovery. Results validating the benefits in a simulated 2DOF manipulator are presented and the limitations of the current approach a

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ive Inference framework, with particular emphasis on Integrated Information Theory (IIT) and Global Neuronal Workspace Theory (GNWT). IWMT further suggests predictive processing in sensory hierarchies may be well-modeled as (folded, sparse, partially disentangled) variational autoencoders, with beli

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and efficient way becomes crucial for limited-resourced agents living in high-dimensional environments. The efficient coding hypothesis claims that organisms seek to maximize the information about the sensory input in an efficient manner. Under Bayesian inference, this means that the role of the bra