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Ключевое слово error-estimation [33 articles]

Recent papers classified by the tag error-estimation.
  • Discussion of the paper arcing classifiers by leo breiman
    (1998)
    by Y Freund, R Schapire
    posted to boosting ensembles error-estimation ml-foundations ml-philosophy by sdvillal on 2007-03-31 22:22:59 as **
  • Overfitting in making comparisons between variable selection methods
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 1371-1382.
    by Juha Reunanen
    posted to dimension-reduction error-estimation feature-selection by sdvillal on 2007-05-08 16:30:52 as ** along with 1 person mmunson
  • Feature subset selection bias for classification learning
    (2006), pp. 849-856.
    by Surendra K Singhi, Huan Liu
    posted to dimension-reduction error-estimation feature-selection by sdvillal on 2007-04-30 12:13:11 as **
  • Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning
    (2002), pp. 259-266.
    by David Jensen, Jennifer Neville
    posted to error-estimation by sdvillal on 2007-04-30 12:12:06 as **
  • On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach
    Data Mining and Knowledge Discovery, Vol. 1, No. 3. (September 1997), pp. 317-328.
    by SL Salzberg
    posted to error-estimation by sdvillal on 2007-02-15 10:53:14 as **
  • Multiple Comparisons in Induction Algorithms
    Mach. Learn., Vol. 38, No. 3. (March 2000), pp. 309-338.
    by David D Jensen, Paul R Cohen
    posted to error-estimation ml-review by sdvillal on 2007-04-30 12:08:03 as **
  • An introduction to ROC analysis
    Pattern Recognition Letters, Vol. 27, No. 8. (June 2006), pp. 861-874.
    by Tom Fawcett
    posted to error-estimation by sdvillal on 2007-06-18 16:10:15 as ** along with 20 people and 6 groups isimpson AbnerCYH ldietz vavi dquest xiaoyan2006 dwf camu schlauchi vmoa drivard nklee imrchen kmdaily gsiwo tgyork idonaldson napvasconcelos cdeane haiyeong Bioinformatics Crypto VT_DLRL Randomness LIVIA BergmanLab
  • Bias Analysis in Text Classification for Highly Skewed Data
    (2005), pp. 781-784.
    by Lei Tang, Huan Liu
    posted to dimension-reduction error-estimation feature-selection text-classification by sdvillal on 2007-05-02 19:57:36 as **
  • How to Compare Different Loss Functions and Their Risks
    Constructive Approximation, Vol. 26, No. 2. (August 2007), pp. 225-287.
    by Ingo Steinwart
    posted to error-estimation loss-functions occ-to-supervised optimization by sdvillal on 2007-11-16 12:17:39 as ** along with 2 people and 1 group mdreid mohdzamrimurah Statistical Machine Learning
  • A New Metric-Based Approach to Model Selection
    (1997), pp. 552-558.
    by Dale Schuurmans
    posted to error-estimation by sdvillal on 2006-11-15 17:44:24 as **
  • The interaction between classification and reject performance for distance-based reject-option classifiers
    Pattern Recogn. Lett., Vol. 27, No. 8. (June 2006), pp. 908-917.
    by Thomas CW Landgrebe, David MJ Tax, Pavel Paclík, Robert PW Duin
    posted to error-estimation locality occ-applications by sdvillal on 2007-05-10 16:59:48 as **
  • Inference for the Generalization Error
    Mach. Learn., Vol. 52, No. 3. (September 2003), pp. 239-281.
    by Claude Nadeau, Yoshua Bengio
    posted to error-estimation by sdvillal on 2007-12-08 11:02:52 as ** along with 1 person and 1 group caporaso biomedical-nlp
  • Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
    J. Mach. Learn. Res., Vol. 5 (2004), pp. 725-775.
    by Giorgio Valentini, Thomas G Dietterich
    posted to ensembles error-estimation kernel-machines by sdvillal on 2006-11-15 17:40:06 as **
  • Is cross-validation valid for small-sample microarray classification?
    Bioinformatics, Vol. 20, No. 3. (12 February 2004), pp. 374-380.
    by Ulisses M Braga-Neto, Edward R Dougherty
    posted to error-estimation by sdvillal on 2007-04-04 17:30:37 as ** along with 3 people and 1 group chad_davis caporaso sampath biomedical-nlp
  • No Unbiased Estimator of the Variance of K-Fold Cross-Validation
    J. Mach. Learn. Res., Vol. 5 (2004), pp. 1089-1105.
    by Yoshua Bengio, Yves Grandvalet
    posted to error-estimation by sdvillal on 2007-04-04 17:29:41 as **
  • Performance Measures for Neyman-Pearson Classification
    IEEE Transactions on Information Theory, Vol. 53, No. 8. (2007), pp. 2852-2863.
    by Clayton Scott
    posted to error-estimation occ-others by sdvillal on 2008-03-24 14:47:52 as **
  • Approximate statistical tests for comparing supervised classification learning algorithms
    Neural Comput., Vol. 10, No. 7. (October 1998), pp. 1895-1923.
    by Thomas G Dietterich
    posted to error-estimation by sdvillal on 2007-03-28 15:11:39 as ** along with 1 person amargoli
  • The existence of a priori distinctions between learning algorithms
    Neural Comput., Vol. 8, No. 7. (October 1996), pp. 1391-1420.
    by David H Wolpert
    posted to error-estimation free-lunch ml-foundations by sdvillal on 2007-06-17 17:35:05 as **
  • Convexity, Classification, and Risk Bounds
    Journal of the American Statistical Association, Vol. 101, No. 473. (March 2006), pp. 138-156.
    by Peter L Bartlett, Michael I Jordan, Jon D Mcauliffe
    posted to error-estimation loss-functions ml-foundations by sdvillal on 2008-03-31 23:24:01 as ** along with 1 person and 1 group mdreid Statistical Machine Learning
  • What size test set gives good error rate estimates?
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 20, No. 1. (1998), pp. 52-64.
    by I Guyon, J Makhoul, R Schwartz, V Vapnik
    posted to error-estimation by sdvillal on 2007-05-02 19:39:03 as **
  • The lack of a priori distinctions between learning algorithms
    Neural Comput., Vol. 8, No. 7. (October 1996), pp. 1341-1390.
    by David H Wolpert
    posted to error-estimation free-lunch ml-foundations by sdvillal on 2007-06-17 17:33:52 as **
  • On divergences, surrogate loss functions, and decentralized detection
    (25 Oct 2005)
    by Xuanlong Nguyen, Martin J Wainwright, Michael I Jordan
    posted to error-estimation loss-functions ml-foundations by sdvillal on 2008-03-31 23:23:30 as ** along with 1 person mdreid
  • The Expected Performance Curve: a New Assessment Measure for Person Authentication
    (2003)
    by S Bengio, J Mariethoz
    posted to error-estimation by sdvillal on 2007-05-10 17:21:39 as **
  • A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
    (1995), pp. 1137-1145.
    by Ron Kohavi
    posted to error-estimation by sdvillal on 2006-09-24 17:30:25 as read along with 9 people Repton haiyeong stanley bigga chad_davis Ferran mad lschilli fireman
  • A Process-Oriented Heuristic for Model Selection
    (1998), pp. 127-135.
    by Pedro Domingos
    posted to error-estimation simplicity by sdvillal on 2006-10-27 11:42:00 as **
  • The ABC of Model Selection: AIC, BIC and the New CIC
    Vol. 803 (November 2005), pp. 80-87.
    by CC Rodríguez
    edited by KH Knuth, AE Abbas, RD Morris, JP Castle
    posted to error-estimation by sdvillal on 2007-06-04 13:39:13 as ** along with 2 people brian Borelli
  • Neural networks and the bias/variance dilemma
    Neural Comput., Vol. 4, No. 1. (January 1992), pp. 1-58.
    by Stuart Geman, Elie Bienenstock, René Doursat
    posted to error-estimation free-lunch simplicity by sdvillal on 2006-11-14 15:41:31 as ** along with 4 people yaroslavvb neteler atbrew suizan
  • How to correct for chance agreement in the estimation of sensitivity and specificity of diagnostic tests.
    Methods Inf Med, Vol. 33, No. 2. (May 1994), pp. 180-186.
    by O Gefeller, H Brenner
    posted to error-estimation by sdvillal on 2007-04-18 21:33:17 as **
  • Tutorial on Practical Prediction Theory for Classification
    Journal of Machine Learning Research, Vol. 6 (March 2005), pp. 273-306.
    by John Langford
    posted to ml-foundations learning-bounds error-estimation by sdvillal on 2008-04-24 12:37:12 as **
  • Process-Oriented Estimation of Generalization Error
    (1999), pp. 714-721.
    by Pedro Domingos
    posted to error-estimation simplicity by sdvillal on 2006-10-27 11:38:12 as **
  • ROC Graphs: Notes and Practical Considerations for Data Mining Researchers
    (2003)
    by T Fawcett
    posted to error-estimation roc by sdvillal on 2007-05-01 10:57:19 as ** along with 1 person Repton
  • Bias Plus Variance Decomposition for Zero-One Loss Functions
    (1996), pp. 275-283.
    by Ron Kohavi, David H Wolpert
    edited by Lorenza Saitta
    posted to error-estimation by sdvillal on 2006-09-24 18:10:06 as read along with 1 person chad_davis
  • Beating the hold-out: bounds for K-fold and progressive cross-validation
    (1999), pp. 203-208.
    by Avrim Blum, Adam Kalai, John Langford
    posted to error-estimation by sdvillal on 2007-03-31 22:25:00 as **
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