![Linear filters / Markov models / Bayesian statistics / Kalman filter / Expectation–maximization algorithm / Hidden Markov model / Gaussian process / Gaussian function / Normal distribution / Statistics / Estimation theory / Robot control Linear filters / Markov models / Bayesian statistics / Kalman filter / Expectation–maximization algorithm / Hidden Markov model / Gaussian process / Gaussian function / Normal distribution / Statistics / Estimation theory / Robot control](https://www.pdfsearch.io/img/c56053b5b5b8df16cb6a8a78a2d57671.jpg)
| Document Date: 2012-06-11 09:24:01 Open Document File Size: 1,83 MBShare Result on Facebook
City Freiberg / Darmstadt / Tübingen / / Company State University of New York Press / MIT Press / / Country Germany / Jordan / / / IndustryTerm approximate algorithms / parallel computing / inference algorithm / nonlinear dynamical systems / real-time application / gaussian process dynamical systems / approximate algorithm / approximate inference algorithm / / Organization Zj / MIT / U.S. Securities and Exchange Commission / Pattern Analysis and Machine Intelligence / State University of New York / / Person M. Matsushima / F. Miyazaki / T. Hashimoto / Marc Peter / J.M. Wang / M. Takeuchi / / Position latent variable model for inferring unknown human intentions / robot player / representative / forward / player / D.J. / / Product Pentax K-x Digital Camera / Altec XT1 Speakers / / PublishedMedium Machine Learning / New York Press / / Technology approximate inference algorithm / Monte Carlo EM algorithm / proposed algorithm / sliding windows / GPS / approximate algorithm / inference algorithm / machine learning / simulation / EM algorithm / / URL http /
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