Titlebook: Mathematical Aspects of Quantum Field Theories; Damien Calaque,Thomas Strobl Book 2015 Springer International Publishing Switzerland 2015

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and artificial neural networks.Deep discussions of simulati.Quantum systems with many degrees of freedom are inherently difficult to describe and simulate quantitatively. The space of possible states is, in general, exponentially large in the number of degrees of freedom such as the number of parti

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Katrin Wendlandial intelligence system. Are we faster because of the way we perceive knowledge as opposed to the way we represent it? ...The authors address this question by presenting neural network models that integrate the two most fundamental phenomena of cognition: our ability to learn from experience, and ou

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J?rgen Ellegaard Andersen,Rinat Kashaevral-Symbolic Learning Systems. .P is an example of such a system. In order to enable effective learning from examples and background knowledge, the main insight was to keep the network structure as simple as possible, and try to find the best symbolic representation for it. We have done so by presen

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Domenico Fiorenza,Hisham Sati,Urs Schreiberral-Symbolic Learning Systems. .P is an example of such a system. In order to enable effective learning from examples and background knowledge, the main insight was to keep the network structure as simple as possible, and try to find the best symbolic representation for it. We have done so by presen

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Nikita Markarian,Hiro Lee Tanakabolic integration systems.Includes supplementary material: Artificial Intelligence is concerned with producing devices that help or replace human beings in their daily activities. Neural-symbolic learning systems play a central role in this task by combining, and trying to benefit from, the advantag

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