Results 271 to 280 of about 369,804 (310)
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Decentralized nonparametric detectors
IEEE Signal Processing Letters, 1997A system formed by N identical nonparametric detectors and a fusion center is studied. The detectors transmit their decisions to the fusion center. The detectors are based either on the signs (sign test) or on the signs and the ranks of the observations (Wilcoxon test).
Emad K. Al-Hussaini, Yousry A. El-Far
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Proceedings of the AAAI Conference on Artificial Intelligence, 2015
A scoring rule is a device for eliciting and assessing probabilistic forecasts from an agent. When dealing with continuous outcome spaces, and absent any prior insights into the structure of the agent's beliefs, the rule should allow for a flexible reporting interface that can accurately represent complicated, multi-modal distributions.
Erik Peter Zawadzki, Sébastien Lahaie
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A scoring rule is a device for eliciting and assessing probabilistic forecasts from an agent. When dealing with continuous outcome spaces, and absent any prior insights into the structure of the agent's beliefs, the rule should allow for a flexible reporting interface that can accurately represent complicated, multi-modal distributions.
Erik Peter Zawadzki, Sébastien Lahaie
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Boosting Nonparametric Policies
International Joint Conference on Autonomous Agents and Multiagent Systems, 2016Learning complex policies is a key step toward real-world applications of reinforcement learning. While boosting approaches have been widely applied in state-of-the-art supervised learning techniques to adaptively learn nonparametric functions, in reinforcement learning the boosting-style approaches have been little investigated.
Yang Yu 0001 +3 more
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Nonparametric Spatial Prediction
Statistical Inference for Stochastic Processes, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Biau, Gérard, Cadre, Benoît
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Combinatorics and Nonparametric mathematics
Annals of Combinatorics, 1997Nonparametric statistics, toric varieties, matroids – a more disparate trio of mathematical subjects can hardly be imagined, and yet, they share a basic idea. The idea is to replace a numerical or continuous quantity in an existing “classical” subject by a discrete combinatorial quality.
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Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
Journal of the American Statistical Association, 1978Nan Laird
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