| Document Date: 2015-01-05 23:35:35
Open Document File Size: 626,66 KBShare Result on Facebook
City Brisbane / Kernel / Sydney / Cambridge / Miami / / Company Neural Information Processing Systems / MIT Press / KBR / Academic Press Professional Inc. / GM / / Country United States / Australia / / / Facility University of Sydney / / IndustryTerm dynamic bayesian networks / maximum aposteriori solution / slot-car moving / inner product / analytical solutions / dot product / filter-bank methods / rule algorithm / online nonlinear/non-gaussian bayesian tracking / mixture pre-image algorithm / car changes speed depending / banking / nonlinear systems / linear algorithm / estimation algorithm / information processing systems / robotics applications / miniature slot-car moving / conjugate gradient descent algorithm / depending on the banking / / Organization University of Sydney / MIT / School of IT / / ProgrammingLanguage FL / R / Python / / ProvinceOrState Massachusetts / / PublishedMedium Machine Learning / The Journal of Machine Learning Research / / Technology filtering algorithm / GPS / machine learning / rule algorithm / conjugate gradient descent algorithm / slot-car dataset Algorithm / KBRGM algorithm / laser / linear algorithm / Gaussian mixture pre-image algorithm / neural network / Data Mining / simulation / estimation algorithm / / URL http /
SocialTag |
Multi-Modal Estimation with Kernel Embeddings for Learning Motion Models Lachlan McCalman1 , Simon O’Callaghan2 and Fabio Ramos3 Abstract— We present a novel estimation algorithm for filtering and regression with a n