sdvillal's overfitting [19 articles] Export

Recent papers added to sdvillal's library classified by the tag overfitting. You can also see everyone's overfitting.

	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
	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
	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
	Statistical Comparisons of Classifiers over Multiple Data Sets [My Copy] JMLR, Vol. 7 (January 2006), pp. 1-30. by Janez Demsar edited by Statistical posted to error-estimation overfitting by sdvillal on 2007-02-15 10:52:08 as along with 1 person and 1 group dbauer The_Festival_of_Doubt
	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

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occ-applications	264
dimension-reduction	250
occ-others	137
occ-support-vector	110
feature-selection	109
occ-statistical	72
spectral	63
kernel-machines	62
ensembles	59
distance-metrics	54
acii-2007	53
occ-neural-networks	50
locality	49
emotion-recognition	48
time-series	47
semi-supervised	44
occ-to-supervised	36
error-estimation	35
simplicity	29
ml-foundations	28
clustering	27
text-classification	26
ensemble-diversity	25
active-learning	23
multimedia-ir	21
classification	20
bioinformatics	20
intrinsic-dimension-estimation	19
overfitting	19
boosting	19
occ-survey	18
artificial-negatives	17
scalability	17
ml-philosophy	17
reductions	16
occ-high-dimensional	16
20070622	16
data-mining-books	16
free-lunch	16
multiclass	16
image-processing	15
occ-nearest-neighbor	15
calibration	15
multilabel	14
algorithmics	14
occ-dimension-reduction	14
occ-parameter-fitting	13
high-dimensionality	13
occ-comparison	13
autoencoders	12
imbalanced	12
data-mining-general	11
evaluation-methodology	11
classic-refs	11
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ica	10
immune-systems	10
pca	10
occ-to-multiclass	9
bayesian-learning	9
neural-networks	9
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ranking	8
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roc	6
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occ-preprocessing	4
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unobserved-features	3
numerical-computing	3
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ml-review	3
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computer-science	3
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consistency	3
occ-for-multiclass	3
biometrics	3
occ-with-unlabelled	3
generalization	3
transduction	3
learning-on-graphs	3
concentration-of-measure	3
statistics	3
maths	3
test-time-inference	3
python	2
high-performance-computing	2
occ-clustering	2
negative-features	2
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sets-of-features	2
occ-vs-supervised	2
oca	2
abstain-option	2
structured-domains	2
negative-example-selection	2
proportional-data	2
featureless	2
decision-theory	2
multilabel-adaptation	2
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lazy-learning	2
dr-for-classification	2
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anytime-induction	2
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occ-reconstruction	1
classification-performance-metrics	1
algorithmic-stability	1
model-analysis	1
seminal	1
lda	1
non-linear	1

sdvillal's overfitting [19 articles] Export

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