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Mutual Information Estimation in Higher Dimensions: A Speed-UP of a k-nearest Neighbor Based Estimator
- 1.0339977 - ÚI 2010 RIV DE eng C - Conference Paper (international conference)
Vejmelka, Martin - Hlaváčková-Schindler, K.
Mutual Information Estimation in Higher Dimensions: A Speed-UP of a k-nearest Neighbor Based Estimator.
Adaptive and Natural Computing Algorithms. Berlin: Springer, 2007 - (Beliczynski, B.; Dzielinski, A.; Iwanowski, M.; Ribeiro, B.), s. 790-797. Lecture Notes in Computer Science, 4431. ISBN 978-3-540-71589-4.
[ICANNGA'2007 /8./. Warsaw (PL), 11.04.2007-14.04.2007]
Grant - others:GA AV ČR(CZ) 1ET100750401
Program: 1E
Institutional research plan: CEZ:AV0Z10300504
Keywords : nearest neighbor search * fixed mass search * fixed radius search * mutual information * information theory * entropy
Subject RIV: BA - General Mathematics
The paper explores the options of conducting fixed mass and fixed radiussearches in higher dimensions. The effectivity of Boxing, kD-tries and Friedmans projective method are compared for many probability distribution functions.
Permanent Link: http://hdl.handle.net/11104/0183328
Number of the records: 1