| Document Date: 2011-01-01 02:41:47
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City La Jolla / Jolla / Online Learning / Gordon / / Company Oxford University Press / Kaelbling L. P. / Neural Information Processing Systems / International Journal / Cambridge University Press / MIT Press / / Facility Engineering University of California / San Diego University of California / / IndustryTerm Online Learning-based Framework / ONLINE-LEARNING FRAMEWORK FOR TRACKING In / regret ofpthe algorithm / online learning / online learning literature / bayesian algorithms / experimental results comparing our algorithm / online learning framework / on-line learning / learningbased algorithm / decision-theoretic online learning / theoretic online learning / online learning algorithms / weighted majority algorithm / online learning algorithm / parameter-free hedging algorithm / finance / online way / tracking algorithm / learning algorithms / / Organization Cambridge University / National Science Foundation / MIT / University of California / San Diego University / ITA Center / Oxford University / UCSD / / Person Yoav Freund Daniel Hsu / / Position explanatory model for tracking / / ProvinceOrState New Jersey / California / / PublishedMedium IEEE Transactions on Information Theory / Machine Learning / / Technology regret ofpthe algorithm / Bayesian algorithm / online learning algorithm / weighted majority algorithm / parameter-free hedging algorithm / 3 Re-sampling algorithm / NormalHedge algorithm / Condensation / 3 Algorithm / Machine Learning / second algorithm / Bayesian averaging algorithm / simulation / online learning algorithms / tracking algorithm / previous online learning algorithms / / URL www.cs.ubc.ca/˜nando/software/upf / /
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An Online Learning-based Framework for Tracking Kamalika Chaudhuri Yoav Freund Daniel Hsu Computer Science and Engineering Computer Science and Engineering Computer Science and Engineering