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We consider the game of Go from the point of view of machine learning and as a well-deened domain for learning on graph representations. We discuss the representation of both board positions and candidate moves and introduce the common fate graph (CFG) as an adequate representation of board positions for learning. Single candidate moves are represented as(More)
1. General principles of the modelling of compartments were described with the aim to use this methodology for the investigation of the potassium metabolism. 2. For the modelling of the potassium metabolism the necessary processes of investigation and calculations in the analysis of 42-potassium-kinetics were described in detail at an example. 3. By analogy(More)
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