Titlebook: Kundenmanagement in der digitalen Welt; Michael Jacob Book 2018 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2018 digi

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Lilian Lewis ShimanBerkley Springs West Virginia on May 20-23. 1991. There were over sixty attendees. approximately half from the United States. the remainder representing over twelve different countries. The international character of the workshop may be gleaned form the attendee list, included in this volume. The in

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Krankheiten des endokrinen Systems Für das Verständnis des menschlichen Hormonsystems ist die Aufklärung von Defekten deshalb wichtig, da aus ihnen auf das Gesunde, auf das Normale, geschlossen werden kann. Wenn ein Enzymdefekt zum Beispiel die Steroidbildung verhindert und zu schwersten Ausfällen im Wasserhaushalt führt, erkennen w

形容词

Private Security Companies and Civil-Military Cooperationing in crisis areas and particularly in international interventions. The scope of services offered by private providers in the security sector ranges from consultation, training and logistic support to land mine clearance and combat missions. This results in a blurring of boundaries between military

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Kurt Benirschke M.D.,Graham J. Burton M.D., D.Sc.,Rebecca N. Baergen M.D.s chapter, we present a detailed analysis of the interference dynamics of two wave packets coherently superposed, a situation strongly connected with the so-called Schrödinger cat states. As in the previous chapter, the real, complex, dissipative, and stochastic dynamics are studied, as well as different versions of Young’s double slit experiment.

宽容

A Strategic Perspective on Management Intelligent Systemsre components of MIS, through integrating main management functions with intelligent systems taking into account decision making of managers in organizations. The approach proposed in this article will facilitate the research and development of MIS, management and intelligent systems and information systems.

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https://doi.org/10.1007/978-3-031-72244-8propagation while Evolution strategies can rival gradient-based algorithm. In this work, we omit the use of backpropagation and replace it with genetic algorithm. It is a challenging task when considering long-term reward maximization in the network. Reinforcement learning with Markov decision proce