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Classification-by-Components: Probabilistic Modeling of Reasoning over a Set of Components

Neural Information Processing Systems

Neural networks are state-of-the-art classification approaches but are generally difficult to interpret. This issue can be partly alleviated by constructing a precise decision process within the neural network. In this work, a network architecture, denoted as Classification-By-Components network (CBC), is proposed.






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