modelselection.org Report : Visit Site


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    Server:Apache/2.4.33 (Unix)...

    The main IP address: 79.170.44.88,Your server United Kingdom,Nottingham ISP:Heart Internet Ltd  TLD:org CountryCode:GB

    The description :model selection...

    This report updates in 12-Jul-2018

Created Date:2005-03-31

Technical data of the modelselection.org


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Latitude: 52.953601837158
Longitude: -1.1504700183868
Country: United Kingdom (GB)
City: Nottingham
Region: England
ISP: Heart Internet Ltd

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HTTP Header Analysis


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DNS

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ipv4:IP:79.170.44.88
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OWNER:HOSTEUROPE-AS, DE
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mx:MX preference = 10, mail exchanger = mail.modelselection.org.

HtmlToText

introduction to (.pdf) definitions is the task of choosing a model from a set of potential models with the best inductive bias, which in practice means selecting parameters in an attempt to create a model of optimal complexity given (finite) training data. sewell (2006) "thus learning is not possible without inductive bias, and now the question is how to choose the right bias. this is called ." alpaydin (2004) p33 " is the task of choosing a model of optimal complexity for the given (finite) data." cherkassky and mulier (1998) p73 ": estimating the performance of different models in order to choose the (approximate) best one." hastie, tibshirani and friedman (2001) "the term (see e.g. [forster, 2000]) refers to the problem of selecting good learning parameters from a small set of choices based on training data." joachims (2002) p105 "...it is important to find the optimal model complexity h to avoid overfitting. this process is called and can be done using different criteria. in quantities like the kernel width for radial basis functions, the number of neurons in a neural network or regularization parameters are chosen." rychetsky " is the task of selecting a mathematical model from a set of potential models, given evidence." wikipedia (2006) important publications bibliography ' (variable selection in regression is a special case) is a bias versus variance trade-off and this is the statistical principle of parsimony. inference under models with too few parameters (variables) can be biased, while with models having too many parameters (variables) there may be poor precision or identification of effects that are, in fact, spurious. these considerations call for a balance between under- and over-fitted models -- the so-called " problem" (see forster 2000, 2001).' burnham and anderson (2004) empirical adjusted r-squared (wherry (1931)) bootstrap (efron (1979)) cross-validation (stone (1974), geisser (1975)) generalized cross-validation (gcv) (craven and wahba, 1979) k-fold crossvalidation leave-one-out crossvalidation jacknife linear regression shibata’s model selector (sms) (1981) signal-to-noise ratio test set validation theoretical akaike information criterion (aic) aic (akaike, 1974) aicc (hurvich and tsai, 1989) qaic qaicc aicw (wilks, 1995) cat (parzen, 1974, 1977) cp (mallow's cp, mallows, 1973) deviance information criterion (dic) (spiegelhalter, et al. , 2002) fic (wei, 1992) final prediction error (fpe) (akaike, 1969) fpeα (bhansali and downham, 1977) fpec (de luna, 1998) fper (larsen and hansen, 1994) gm (geweke and meese, 1981) generalized prediction error (gpe) (moody 1991, moody 1992) hannan and quinn criterion (hq) (hannan and quinn, 1979) kic, kicc (cavanaugh, 1999, 2004) minimum description length (mdl) (rissanen, 1978) minimum message length (mml) (wallace and boulton, 1968) predicted squared error (pse) (barron, 1984) press (allen, 1974) schwarz criterion (also schwarz information criterion (sic) or bayesian information criterion (bic) or schwarz-bayesian information criterion) (schwarz (1978)) structural risk minimization (srm) (vapnik and chervonenkis (1974)) tic (takeuchi's information criterion) (takeuchi, 1976) vc-dimension (vapnik and chervonenkis (1968, 1971), vapnik (1979)) ensemble methods books burnham, kenneth p. and david r. anderson, and multimodel inference: a practical information-theoretic approach . hjorth, j. s. urban, computer intensive statistical methods: validation, and bootstrap , 1994. mcquarrie, allan d. r. and chih-ling tsai, regression and time series , 1998. links - wikipedia model assessment and model choice: an annotated bibliography comp.ai.neural-nets faq, part 3 of 7: generalization: how can generalization error be estimated? the bias variance tradeoff (german and bienenstock, 1992) capacity control (guyon et al., 1992) overfitting (montgomery and peck, 1992) -- | webmaster: martin sewell

URL analysis for modelselection.org


http://www.modelselection.org/jacknife/
http://www.modelselection.org/model-selection.pdf
http://www.modelselection.org/cross-validation/
http://www.modelselection.org/gm/
http://www.modelselection.org/bibliography.html
http://www.modelselection.org/mdl/
http://www.modelselection.org/bootstrap/
http://www.modelselection.org/mml/
http://www.modelselection.org/bic/
http://www.modelselection.org/fic/
http://www.modelselection.org/aic/
http://www.modelselection.org/cp/
http://www.modelselection.org/dic/
http://www.modelselection.org/hq/
http://www.modelselection.org/important.html
stats.org.uk

Whois Information


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Domain Name: MODELSELECTION.ORG
Registry Domain ID: D105991756-LROR
Registrar WHOIS Server:
Registrar URL: http://www.domainmonster.com
Updated Date: 2016-03-26T04:52:08Z
Creation Date: 2005-03-31T10:18:06Z
Registry Expiry Date: 2018-03-31T10:18:06Z
Registrar Registration Expiration Date:
Registrar: Mesh Digital Limited
Registrar IANA ID: 1390
Registrar Abuse Contact Email:
Registrar Abuse Contact Phone:
Reseller:
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Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
Registry Registrant ID: C148809195-LROR
Registrant Name: Martin Sewell
Registrant Organization: Martin Sewell
Registrant Street: 3 Home Close
Registrant Street: Sharnbrook
Registrant City: BEDFORD
Registrant State/Province: Bedfordshire
Registrant Postal Code: MK441PQ
Registrant Country: GB
Registrant Phone: +44.1234781903
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Registrant Email: [email protected]
Registry Admin ID: C148809196-LROR
Admin Name: Martin Sewell
Admin Organization: Martin Sewell
Admin Street: 3 Home Close
Admin Street: Sharnbrook
Admin City: BEDFORD
Admin State/Province: Bedfordshire
Admin Postal Code: MK441PQ
Admin Country: GB
Admin Phone: +44.1234781903
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Admin Fax:
Admin Fax Ext:
Admin Email: [email protected]
Registry Tech ID: C148809198-LROR
Tech Name: Webfusion Ltd
Tech Organization: Webfusion Ltd.
Tech Street: 5 Roundwood Avenue
Tech Street: Stockley Park
Tech City: Uxbridge
Tech State/Province: Middlesex
Tech Postal Code: UB111FF
Tech Country: GB
Tech Phone: +44.8712309525
Tech Phone Ext:
Tech Fax: +44.8701650437
Tech Fax Ext:
Tech Email: [email protected]
Name Server: NS.MAINNAMESERVER.COM
Name Server: NS2.MAINNAMESERVER.COM
DNSSEC: unsigned
URL of the ICANN Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>> Last update of WHOIS database: 2017-07-15T13:37:28Z <<<

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  REFERRER http://www.pir.org/

  REGISTRAR Public Interest Registry

SERVERS

  SERVER org.whois-servers.net

  ARGS modelselection.org

  PORT 43

  TYPE domain

DOMAIN

  NAME modelselection.org

  HANDLE D105991756-LROR

  CREATED 2005-03-31

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NSERVER

  NS.MAINNAMESERVER.COM 79.170.40.2

  NS2.MAINNAMESERVER.COM 79.170.43.3

OWNER

  HANDLE C148809195-LROR

  NAME Martin Sewell

  ORGANIZATION Martin Sewell

ADDRESS

STREET
3 Home Close
Sharnbrook

  CITY BEDFORD

  STATE Bedfordshire

  PCODE MK441PQ

  COUNTRY GB

  PHONE +44.1234781903

  EMAIL [email protected]

ADMIN

  HANDLE C148809196-LROR

  NAME Martin Sewell

  ORGANIZATION Martin Sewell

ADDRESS

STREET
3 Home Close
Sharnbrook

  CITY BEDFORD

  STATE Bedfordshire

  PCODE MK441PQ

  COUNTRY GB

  PHONE +44.1234781903

  EMAIL [email protected]

TECH

  HANDLE C148809198-LROR

  NAME Webfusion Ltd

  ORGANIZATION Webfusion Ltd.

ADDRESS

STREET
5 Roundwood Avenue
Stockley Park

  CITY Uxbridge

  STATE Middlesex

  PCODE UB111FF

  COUNTRY GB

  PHONE +44.8712309525

  EMAIL [email protected]

  REGISTERED yes

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