Mutual Information Estimation in Higher Dimensions: A Speed-Up Of A K-Nearest Neighbor Based Estimator
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03132441" target="_blank" >RIV/68407700:21230/07:03132441 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/07:00339977
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Mutual Information Estimation in Higher Dimensions: A Speed-Up Of A K-Nearest Neighbor Based Estimator
Original language description
The paper explores the options of conducting fixed mass and fixed radius searches in higher dimensions. The effectivity of Boxing, kD-tries and Friedmans projective method are compared for many probability distribution functions.
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Adaptive and Natural Computing Algorithms
ISBN
978-3-540-71589-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
790-797
Publisher name
Springer
Place of publication
Heidelberg
Event location
Varšava
Event date
Apr 11, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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