Initialization matters: Orthogonal Predictive State Recurrent Neural Networks

international conference on learning representations, (2018)

Cited by: 10|Views16
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Abstract:

Learning to predict complex time-series data is a fundamental challenge in a range of disciplines including Machine Learning, Robotics, and Natural Language Processing. Predictive State Recurrent Neural Networks (PSRNNs) (Downey et al.) are a state-of-the-art approach for modeling time-series data which combine the benefits of probabilist...More

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