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Fast inference and learning in large-state-space HMMs.

, and . ICML, volume 119 of ACM International Conference Proceeding Series, page 800-807. ACM, (2005)

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Closing the learning-planning loop with predictive state representations., , and . Int. J. Robotics Res., 30 (7): 954-966 (2011)Reduced-Rank Hidden Markov Models., , and . AISTATS, volume 9 of JMLR Proceedings, page 741-748. JMLR.org, (2010)Closing the Learning-Planning Loop with Predictive State Representations, , and . CoRR, (2009)Fast inference and learning in large-state-space HMMs., and . ICML, volume 119 of ACM International Conference Proceeding Series, page 800-807. ACM, (2005)Fast State Discovery for HMM Model Selection and Learning., , and . AISTATS, volume 2 of JMLR Proceedings, page 492-499. JMLR.org, (2007)A Latent Space Approach to Dynamic Embedding of Co-occurrence Data., , and . AISTATS, volume 2 of JMLR Proceedings, page 420-427. JMLR.org, (2007)A Constraint Generation Approach to Learning Stable Linear Dynamical Systems., , and . NIPS, page 1329-1336. Curran Associates, Inc., (2007)Closing the Learning-Planning Loop with Predictive State Representations., , and . Robotics: Science and Systems, The MIT Press, (2010)Reduced-Rank Hidden Markov Models, , and . CoRR, (2009)Approximate Kalman Filters for Embedding Author-Word Co-occurrence Data over Time., , and . SNA@ICML, volume 4503 of Lecture Notes in Computer Science, page 126-139. Springer, (2006)