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Feb 14, 2012 � In this search model, the noise in the feedback depends on the distance between query points and the search target. Consequently, the error�...
In this search model, the noise in the feedback depends on the distance between query points and the search target. Consequently, the error probability in the�...
In this search model, the noise in the feedback depends on the distance between query points and the search target. Consequently, the error probability in the�...
The Bayesian Learner is Optimal for Noisy Binary Search (and Pretty Good for Quantum as Well) � Relevance Feedback Models for Content-Based Image Retrieval.
In this search model, the noise in the feedback depends on the distance between query points and the search target. Consequently, the error probability in the�...
Request PDF | On Jan 1, 2011, Shiau Hong Lim and others published Noisy Search with Comparative Feedback. | Find, read and cite all the research you need on
Translated title of the contribution, Noisy Search with Comparative Feedback. Original language, English. Publication status, Published - 2011.
Bibliographic details on Noisy Search with Comparative Feedback.
Details ; Noisy Search with Comparative Feedback � English � Published - 2011 � Conference on uncertainty in Artificial Intelligence (UAI 2011) - Barcelona, Spain
Jan 11, 2021 � In this online comparison feedback model, we explore estimation of general sample statistics, providing robust algorithms for median, CDF, and mean estimation.
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