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Showing 1 to 2 of 2 for “"neural modeling"”.
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Learning in dynamic temporal domains using contextual prediction entropy as a guiding principle.
… demonstrates this basic capability, however the neural mechanisms which mediate it are not currently understood. Further, contemporary methods in machine learning and neural modeling either reduce the problem to a simple Markov Decision Problem (in which state-augmentation is avoided altogether …
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SYMBOLIC AND NEURAL APPROACHES TO NATURAL LANGUAGE INFERENCE
… have proposed logic-based, symbolic models and neural network models to perform inference. However, in the symbolic tradition, relatively few systems are designed based on monotonicity and natural logic rules; in the neural network tradition, most work is focused exclusively on English. Thus, …