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alumni.caltech.edu/~amir/posterior-prob-est.pdf
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In this paper we propose a new posterior probability estimator. The proposed estimator considers the K-nearest neighbors. It attaches a weight to each neighbor ...
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www.cs.haifa.ac.il/~rita/ml_course/lectures/KNN.pdf
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In Parzen windows estimation, we fix V and that determines k, the number of points inside V. ▪ In k-nearest neighbor approach we fix k, and find. V that contains k ...
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www.stanford.edu/~cover/papers/transIT/0050cove.pdf
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loss functions. A simple estimator using the nearest k neighbors yields R = R* (1 + l/k) in the squared-error loss case. In this sense, it can be said that at least half ...
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www.eecs.umich.edu/~hero/Preprints/ssp_2005_final_1.pdf
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method uses a global dimensionality estimator based on k- nearest neighbor (k- NN) graphs, together with an algorithm for computing neighborhoods in the data ...
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papers.ssrn.com/sol3/papers.cfm?abstract_id=1835046
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May 10, 2011 ... This paper considers the problem of estimating expected values of functions that are inversely weighted by an unknown density using the ...
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www.treesearch.fs.fed.us/pubs/14264
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Sep 28, 2011 ... Title: K-Nearest Neighbor Estimation of Forest Attributes: Improving Mapping Efficiency. Author: Finley, Andrew O.; Ek, Alan R.; Bai, Yun; Bauer, ...
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citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.140.7...
citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.140.7571&rep=rep1&type=pdf
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Efficient Reverse k-Nearest Neighbor Estimation. Elke Achtert, Christian Böhm, Peer Kröger, Peter Kunath, Alexey Pryakhin, Matthias Renz. Institute for ...
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ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6033726
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Oct 3, 2011 ... k-nearest neighbor estimation of entropies with confidence. 6033726 abstract; Download Citations; Email; Print; Rights And Permissions ...
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projecteuclid.org/euclid.ejs/1297088517
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We investigate the rates of strong (almost sure) convergence of the k-nearest neighbor estimate. We give two convergence results assuming a finite moment ...
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