| 000 | 02859nam a22005295i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-71688-6 | ||
| 003 | DE-He213 | ||
| 005 | 20220801214453.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 171221s2018 sz | s |||| 0|eng d | ||
| 020 |
_a9783319716886 _9978-3-319-71688-6 |
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| 024 | 7 |
_a10.1007/978-3-319-71688-6 _2doi |
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| 072 | 7 |
_aUYQ _2bicssc |
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_aUYQ _2thema |
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| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aGramacki, Artur. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _938554 |
|
| 245 | 1 | 0 |
_aNonparametric Kernel Density Estimation and Its Computational Aspects _h[electronic resource] / _cby Artur Gramacki. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
| 300 |
_aXXIX, 176 p. 70 illus. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aStudies in Big Data, _x2197-6511 ; _v37 |
|
| 520 | _aThis book describes computational problems related to kernel density estimation (KDE) – one of the most important and widely used data smoothing techniques. A very detailed description of novel FFT-based algorithms for both KDE computations and bandwidth selection are presented. The theory of KDE appears to have matured and is now well developed and understood. However, there is not much progress observed in terms of performance improvements. This book is an attempt to remedy this. The book primarily addresses researchers and advanced graduate or postgraduate students who are interested in KDE and its computational aspects. The book contains both some background and much more sophisticated material, hence also more experienced researchers in the KDE area may find it interesting. The presented material is richly illustrated with many numerical examples using both artificial and real datasets. Also, a number of practical applications related to KDE are presented. | ||
| 650 | 0 |
_aComputational intelligence. _97716 |
|
| 650 | 0 |
_aArtificial intelligence. _93407 |
|
| 650 | 0 |
_aBig data. _94174 |
|
| 650 | 1 | 4 |
_aComputational Intelligence. _97716 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aBig Data. _94174 |
| 710 | 2 |
_aSpringerLink (Online service) _938555 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319716879 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319716893 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319890944 |
| 830 | 0 |
_aStudies in Big Data, _x2197-6511 ; _v37 _938556 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-71688-6 |
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| 912 | _aZDB-2-SXE | ||
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