| Document Date: 2014-01-19 15:08:47
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City Using Boosting / Tampa / Florham Park / / Company COM AT&T Labs / Multiagent Systems / Multi-Agent Systems / Shannon Laboratory / Wellman / HP / P. S. A. / / Currency USD / / / Event FDA Phase / / Facility Hotel Rooms / Hotel Expected Marginal Values Using / Tampa Towers / Hotel Price Prediction As / University of Michigan / / IndustryTerm level algorithm / feasible travel package consisting / Agent-oriented software engineering / machine-learning algorithm / real travel agents / fewer total preferred travel days / conditional density estimation algorithm / tensor products / hotel prediction algorithm / e-marketplaces / Internet Computing / assigned travel preferences / travel packages / e - commerce / airline tickets / travel package / airline ticket / learning algorithm / logistic regression algorithm / / Organization US-Israel Binational Science Foundation / Federal Communications Commission / the University of Michigan / / Person Michael L. Littman / Andreas Buja / Robert E. Schapire / David McAllester / Peter Stone / / Position simulated travel agent / player / Singer / / Product Pentax K-x Digital Camera / ATTac-2001ns / EarlyBidder / / ProvinceOrState New Jersey / Michigan / Florida / / PublishedMedium Machine Learning / Journal of Artificial Intelligence Research / / Technology boosting-like algorithm / Improved boosting algorithms / logistic regression algorithm / machine-learning algorithm / hotel prediction algorithm / The algorithm / Machine Learning / boosting-based algorithm / learning algorithm / high-level algorithm / flash / conditional density estimation algorithm / end up buying the flash / / URL http /
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Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation Robert E. Schapire [removed] Peter Stone