The elements of statistical learning
Permalink: | http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:46967/Details |
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Glavni autori: | Hastie, Trevor (Author), Tibshirani, Robert, Friedman, Jerome H. |
Vrsta građe: | Knjiga |
Jezik: | eng |
Impresum: |
New York, NY :
Springer,
2016.
|
Izdanje: | 2nd ed |
Nakladnička cjelina: |
Springer series in statistics
|
Predmet: |
mathematical statistics
> supervised learning
> statistical models
> linear methods for regression
> linear methods for classification
> Kernel smoothing methods
> averaging
> additive modles
> boosting and additive trees
> neural networks
> flexible discriminants
> ranadom forests
> undirected graphical models
> high-dimensional problems
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LEADER | 01278nam a2200289 i 4500 | ||
---|---|---|---|
003 | HR-ZaFER | ||
005 | 20160826164904.0 | ||
008 | 081106s2016 -usa frb 001 0 eng | ||
020 | |a 9780387848570 | ||
040 | |a DLC |c HR-ZaIRB |d HR-ZaFER |b hrv |e ppiak | ||
041 | |a eng | ||
080 | |a HR-ZaIRB | ||
100 | 1 | |a Hastie, Trevor |4 aut |9 37727 | |
245 | 1 | 4 | |a The elements of statistical learning : |b data mining, inference and prediction / |c Trevor Hastie, Robert Tibshirani, Jerome Friedman. |
250 | |a 2nd ed. | ||
260 | |a New York, NY : |b Springer, |c 2016. | ||
300 | |a XXII, 745 str. : |b ilustr. ; |c 24 cm. | ||
490 | 0 | |a Springer series in statistics, |x 0172-7397 | |
504 | |a Bibliografija: str. 699-727. - | ||
504 | |a Kazalo. | ||
653 | |a mathematical statistics |a supervised learning |a statistical models |a linear methods for regression |a linear methods for classification |a Kernel smoothing methods |a averaging |a additive modles |a boosting and additive trees |a neural networks |a flexible discriminants |a ranadom forests |a undirected graphical models |a high-dimensional problems | ||
700 | 1 | |a Tibshirani, Robert |4 aut |9 37728 | |
700 | 1 | |a Friedman, Jerome H. |4 aut |9 37729 | |
830 | 1 | |a Springer series in statistics |9 37466 | |
942 | |2 udc |c K | ||
998 | |c Mihalić, Mirjana | ||
999 | |c 46967 |d 46967 |