About: The Elements of Statistical Learning

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book on statistical learning (second edition, 2009)

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття (uk) article scientifique publié en 2009 (fr) 2009 թուականի Փետրուարին հրատարակուած գիտական յօդուած (hyw) 2009 թվականի փետրվարին հրատարակված գիտական հոդված (hy) book on statistical learning (second edition, 2009) (en)
publication date	wds:Q22670878-625CC18E-292E-4818-B3EE-280E8C7BCD32 wds:Q22670878-afd2697f-4e48-1c3f-871e-7f7b886f2e60
publication date	2009-01-01 00:00:00Z (xsd:dateTime) 2009-02-01 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q22670878-5A614680-E913-4F83-8C29-593AAE0F0C5B
language of work or name	English
Goodreads version/edition ID	wds:Q22670878-48A5287C-C12A-4BBB-B6EA-907166196565
Goodreads version/edition ID	4094864
rdfs:label	The Elements of Statistical Learning (en) The Elements of Statistical Learning (ga) The Elements of Statistical Learning (nl)
skos:prefLabel	The Elements of Statistical Learning (en) The Elements of Statistical Learning (ga) The Elements of Statistical Learning (nl)
name	The Elements of Statistical Learning (en) The Elements of Statistical Learning (ga) The Elements of Statistical Learning (nl)
author	wds:Q22670878-c0b5dd5b-4b9b-b1d9-4b87-0622fa958088 wds:Q22670878-ce77cd1c-4713-54eb-a157-7d8c4f58ed91 wds:Q22670878-d91d1a9c-47b9-ae6e-4ed9-de6d1687d1fc
author	Robert Tibshirani Jerome H. Friedman Trevor Hastie
title	wds:Q22670878-1562299c-4fae-fdbb-2a2c-6f168240960f
title	The Elements of Statistical Learning (en)
instance of	wds:Q22670878-3BBD21F4-2478-4C3D-8049-EED3F23C5B96 wds:Q22670878-cdf4dad8-4f17-d0fc-6ab2-51f61ea57f72
instance of	version, edition or translation scholarly article
main subject	wds:Q22670878-849D597F-05B4-418B-BCEC-290B52CDBD8A wds:Q22670878-ecda6114-4fae-15cb-32a7-ffc5de9a7c85
main subject	machine learning statistics
publisher	wds:Q22670878-4a323a6b-4bec-1a02-f2ef-be4377ff551c
published in	wds:Q22670878-2B9304C2-0154-47BF-B2D2-5021DD17E3CC
subtitle	wds:Q22670878-e244b626-4469-48e2-b954-1fc0777c5409
full work available at URL	wds:Q22670878-de77f0bf-4b7a-007a-96ee-4c05c34701d5
publisher	Springer Science+Business Media
published in	Springer Series in Statistics
subtitle	Data Mining, Inference, and Prediction (en)
full work available at URL	http://statweb.stanford.edu/~tibs/ElemStatLearn/
number of pages	wds:Q22670878-3a573b69-4ad2-6069-e6bd-adbc5970cc50
number of pages	745 (xsd:decimal)
DOI	wds:Q22670878-07f40216-4c84-afc3-68d6-467e6f85fe3c
DOI	http://dx.doi.org/10.1007/978-0-387-84858-7
DOI	10.1007/978-0-387-84858-7
genre	wds:Q22670878-40a6ee67-474d-7802-0b66-d06e8407a987
maintained by WikiProject	wds:Q22670878-9D16E3EB-B278-493B-84CB-EDFC5D83C001
edition or translation of	wds:Q22670878-4cc72cfe-4271-cd4a-0e27-c26a0970e39c
Open Library ID	wds:Q22670878-C78CFAB5-74F3-4190-BBF3-EBC5EE783234
official website	wds:Q22670878-9c480873-423f-9fe9-cad7-affcd211a81d
Open Library ID	http://openlibrary.org/works/OL25536157M
genre	textbook
maintained by WikiProject	WikiProject Mathematics
edition or translation of	The Elements of Statistical Learning
Open Library ID	OL25536157M
official website	http://statweb.stanford.edu/~tibs/ElemStatLearn/
part of the series	wds:Q22670878-2172fdf5-4327-a8cb-5fec-61d3950deee9
edition number	wds:Q22670878-f73a2214-497c-d24d-34d9-9c4b04c80359
part of the series	Springer Series in Statistics
edition number	2
zbMATH Open document ID	wds:Q22670878-79309977-9BB2-4C2D-A657-49E7EC64093A wds:Q22670878-EBBD4A06-147A-4538-BD61-7A37FA57CB47
zbMATH Open document ID	0973.62007 1273.62005
ISBN-13	wds:Q22670878-1f99a73a-4113-1e7b-df96-fc76e5058dfa
ISBN-13	urn:ISBN:978-0-387-84857-0
ISBN-13	978-0-387-84857-0
is owl:sameAs of	The Elements of Statistical Learning
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q22670878
is cites work of	Large-scale imputation of epigenomic datasets for systematic annotation of diverse human tissues Estimating cellular parameters through optimization procedures: elementary principles and applications A Risk Assessment Perspective of Current Practice in Characterizing Uncertainties in QSAR Regression Predictions Association of host, agent and environment characteristics and the duration of incubation and symptomatic periods of norovirus gastroenteritis Identity by descent estimation with dense genome-wide genotype data Genomic prediction in CIMMYT maize and wheat breeding programs The Current and Future Use of Ridge Regression for Prediction in Quantitative Genetics Performance and robustness of penalized and unpenalized methods for genetic prediction of complex human disease. Reconstructing speech from human auditory cortex Whole genome prediction of bladder cancer risk with the Bayesian LASSO. The phenotypic and genetic signatures of common musculoskeletal pain conditions. Comparing the performance of biomedical clustering methods. A preliminary review of influential works in data-driven discovery An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations. Multivariate linear regression of high-dimensional fMRI data with multiple target variables Using Fourier transform IR spectroscopy to analyze biological materials Philosophy and the practice of Bayesian statistics Autism risk associated with parental age and with increasing difference in age between the parents Resting-state connectivity biomarkers define neurophysiological subtypes of depression Thalamic control of sensory selection in divided attention Cross-validation pitfalls when selecting and assessing regression and classification models tmChem: a high performance approach for chemical named entity recognition and normalization Multiple dynamic representations in the motor cortex during sensorimotor learning

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