Tag overfitting [30 articles] Export

Recent papers classified by the tag overfitting.

	What You See May Not Be What You Get: A Brief, Nontechnical Introduction to Overfitting in Regression-Type Models [My Copy] Psychosom Med, Vol. 66, No. 3. (1 May 2004), pp. 411-421. by Michael A. Babyak posted to bivariate modelling overfitting review by gareth on 2009-08-10 16:05:54 as along with 5 people and 1 group Zephyrus almostc ajw afinucane dmajka PsychStatsBanter
	On Overfitting Avoidance as Bias [My Copy] No. SFI TR 92-03-5001. (1992) by D. Wolpert posted to bias cross-validation machine-learning overfitting by arsyed on 2009-08-07 01:56:29 as along with 1 person Repton
	Ensemble selection from libraries of models [My Copy] In In Proc. 21st International Conference on Machine Learning (2004), pp. 137-144. by Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes posted to ensembles overfitting by muckl on 2009-07-14 18:18:12 as along with 1 person yaroslavvb
	High-dimensional Data Analysis: From Optimal Metrics to Feature Selection [My Copy] (06 May 2008) by Damien François posted to concentration-of-measure high-dimensionality kernel-machines local-learning locality nearest-neighbors overfitting by sdvillal on 2009-05-11 12:49:48 as
	Prediction Versus Accommodation and the Risk of Overfitting [My Copy] Br J Philos Sci, Vol. 55, No. 1. (1 March 2004), pp. 1-34. by Christopher Hitchcock, Elliott Sober posted to machinelearning overfitting prediction by lcigler on 2009-04-09 12:57:25 as
	Data set selection [My Copy] In Presented at NIPS Workshop (2002) by Doudou Laloudouana, Mambobo B. Tarare, Selacie Guana, Selacie Guana posted to being-harsh black-humour evaluation-methodology ml-foundations ml-philosophy overfitting by sdvillal on 2009-03-27 08:06:54 as
	Spikes And Bumps: Artefacts Generated By Independent Component Analysis With Insufficient Sample Size [My Copy] by Aapo Hyvärinen, Jaakko Särelä, Ricardo Vigário posted to ica overfitting by ecome on 2008-05-07 14:33:46 as
	Backwarding: An Overfitting Control for Genetic Programming in a Remote Sensing Application [My Copy] Artificial Evolution (2002), pp. 57-74. by Denis Robilliard, Cyril Fonlupt posted to genetic-algorithm genetic-programming overfitting by Phanix on 2008-03-31 16:56:14 as
	Reducing overfitting in genetic programming models for software quality classification [My Copy] High Assurance Systems Engineering, 2004. Proceedings. Eighth IEEE International Symposium on In High Assurance Systems Engineering, 2004. Proceedings. Eighth IEEE International Symposium on (2004), pp. 56-65. by Yi Liu, T. Khoshgoftaar posted to genetic-algorithm genetic-programming overfitting by Phanix on 2008-03-31 16:49:18 as
	Overfitting avoidance in genetic programming of polynomials [My Copy] Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on In Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on, Vol. 2 (2002), pp. 1209-1214. by N. Nikolaev, L. M. de Menezes, H. Iba posted to genetic-algorithm genetic-programming overfitting by Phanix on 2008-03-31 09:28:38 as
	Avoiding Boosting Overfitting by Removing Confusing Samples [My Copy] Machine Learning: ECML 2007 (2007), pp. 430-441. by Alexander Vezhnevets, Olga Barinova posted to boosting overfitting by haiyeong on 2008-01-18 14:49:01 as along with 1 person hr0nix
	Inference for the Generalization Error [My Copy] Mach. Learn., Vol. 52, No. 3. (September 2003), pp. 239-281. by Claude Nadeau, Yoshua Bengio posted to error-estimation overfitting by sdvillal on 2007-12-08 11:02:52 as along with 4 people and 1 group jread82 josrod jmetzen caporaso biomedical-nlp
	The ABC of Model Selection: AIC, BIC and the New CIC [My Copy] In Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Vol. 803 (November 2005), pp. 80-87. by C. C. Rodríguez edited by K. H. Knuth, A. E. Abbas, R. D. Morris, J. P. Castle posted to error-estimation overfitting by sdvillal on 2007-06-04 13:39:13 as along with 2 people brian Borelli
	Overfitting in making comparisons between variable selection methods [My Copy] J. Mach. Learn. Res., Vol. 3 (2003), pp. 1371-1382. by Juha Reunanen posted to dimension-reduction error-estimation feature-selection overfitting by sdvillal on 2007-05-08 16:30:52 as along with 2 people gkvas mmunson
	Bias Analysis in Text Classification for Highly Skewed Data [My Copy] In ICDM '05: Proceedings of the Fifth IEEE International Conference on Data Mining (2005), pp. 781-784. by Lei Tang, Huan Liu posted to dimension-reduction error-estimation feature-selection overfitting text-classification by sdvillal on 2007-05-02 19:57:36 as
	What size test set gives good error rate estimates? [My Copy] 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 overfitting by sdvillal on 2007-05-02 19:39:03 as
	ROC Graphs: Notes and Practical Considerations for Data Mining Researchers [My Copy] (2003) by T. Fawcett posted to error-estimation overfitting roc by sdvillal on 2007-05-01 10:57:19 as along with 1 person Repton
	Feature subset selection bias for classification learning [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 849-856. by Surendra K. Singhi, Huan Liu posted to dimension-reduction error-estimation feature-selection overfitting by sdvillal on 2007-04-30 12:13:11 as along with 2 people BrianTomasik sona
	Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning [My Copy] In ICML '02: Proceedings of the Nineteenth International Conference on Machine Learning (2002), pp. 259-266. by David Jensen, Jennifer Neville posted to error-estimation overfitting by sdvillal on 2007-04-30 12:12:06 as
	Multiple Comparisons in Induction Algorithms [My Copy] Mach. Learn., Vol. 38, No. 3. (March 2000), pp. 309-338. by David D. Jensen, Paul R. Cohen posted to error-estimation ml-review overfitting by sdvillal on 2007-04-30 12:08:03 as
	How to correct for chance agreement in the estimation of sensitivity and specificity of diagnostic tests. [My Copy] Methods Inf Med, Vol. 33, No. 2. (May 1994), pp. 180-186. by O. Gefeller, H. Brenner posted to error-estimation overfitting by sdvillal on 2007-04-18 21:33:17 as
	Is cross-validation valid for small-sample microarray classification? [My Copy] Bioinformatics, Vol. 20, No. 3. (12 February 2004), pp. 374-380. by Ulisses M. Braga-Neto, Edward R. Dougherty posted to error-estimation overfitting by sdvillal on 2007-04-04 17:30:37 as along with 6 people and 1 group gabriprat jcanulre rdiaz chad_davis caporaso sampath biomedical-nlp
	No Unbiased Estimator of the Variance of K-Fold Cross-Validation [My Copy] J. Mach. Learn. Res., Vol. 5 (2004), pp. 1089-1105. by Yoshua Bengio, Yves Grandvalet posted to error-estimation overfitting by sdvillal on 2007-04-04 17:29:41 as along with 1 person santhosh
	Beating the hold-out: bounds for K-fold and progressive cross-validation [My Copy] In COLT '99: Proceedings of the twelfth annual conference on Computational learning theory (1999), pp. 203-208. by Avrim Blum, Adam Kalai, John Langford posted to error-estimation overfitting by sdvillal on 2007-03-31 22:25:00 as
	Approximate statistical tests for comparing supervised classification learning algorithms [My Copy] Neural Comput., Vol. 10, No. 7. (October 1998), pp. 1895-1923. by Thomas G. Dietterich posted to error-estimation overfitting by sdvillal on 2007-03-28 15:11:39 as along with 1 person amargoli
	On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach [My Copy] Data Mining and Knowledge Discovery, Vol. 1, No. 3. (September 1997), pp. 317-328. by S. L. Salzberg posted to error-estimation overfitting by sdvillal on 2007-02-15 10:53:14 as
	A Unified Bias-Variance Decomposition for Zero-One and Squared Loss [My Copy] In AAAI/{IAAI} (2000), pp. 564-569. by Pedro Domingos posted to bagging boosting learning overfitting by Vezhnick on 2007-01-24 08:06:10 as
	Boosting in the Limit: Maximizing the Margin of Learned Ensembles [My Copy] In AAAI/{IAAI} (1998), pp. 692-699. by Adam J. Grove, Dale Schuurmans posted to overfitting boosting by Vezhnick on 2007-01-21 21:06:10 as
	A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection [My Copy] In IJCAI (1995), pp. 1137-1145. by Ron Kohavi posted to error-estimation overfitting by sdvillal on 2006-09-24 17:30:25 as along with 10 people santhosh stanley bigga chad_davis Ferran mad lschilli fireman haiyeong Repton
	Bayesian Methods for Mixtures of Experts [My Copy] In Advances in Neural Information Processing Systems, Vol. 8 (1996), pp. 351-357. by Steve Waterhouse, David Mackay, Tony Robinson edited by David S. Touretzky, Michael C. Mozer, Michael E. Hasselmo posted to avoids bayesian overfitting by dliu on 2005-07-08 04:20:10 as

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error-estimation	16
boosting	4
dimension-reduction	3
feature-selection	3
genetic-algorithm	3
genetic-programming	3
bias	2
regression	2
2007	1
avoids	1
bagging	1
bayesian	1
being-harsh	1
bivariate	1
black-humour	1
concentration-of-measure	1
cross-validation	1
ecml	1
ensembles	1
evaluation-methodology	1
high-dimensionality	1
ica	1
kernel-machines	1
learning	1
local-learning	1
locality	1
machine-learning	1
machinelearning	1
ml-foundations	1
ml-philosophy	1
ml-review	1
modelling	1
nearest-neighbors	1
prediction	1
review	1
roc	1
text-classification	1
wolpert	1

Tag overfitting [30 articles] Export

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