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Forced Information Maximization to Accelerate Information-Theoretic Competitive Learning

机译:强迫信息最大化加速信息理论竞争性学习

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Information-theoretic competitive learning has been proved to be more general and more flexible type of competitive learning. However, one of the major shortcomings of this method is that it is sometimes very slow in learning. To overcome this problem, we
机译:信息理论上的竞争性学习已被证明是竞争性学习的更一般和更灵活的类型。但是,这种方法的主要缺点之一是有时学习速度很慢。为了克服这个问题,我们

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