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	Adaptive concept drift detection [My Copy] Statistical Analysis and Data Mining, Vol. 2, No. 5-6. (2009), pp. 311-327. by Anton Dries, Ulrich Rückert posted to statistics machine-learning data-stream concept-drift change-detection by arsyed on 2009-11-25 20:48:57 as
	Reliable and Efficient Inference of Bayesian Networks from Sparse Data by Statistical Learning Theory [My Copy] (10 Sep 2003) by Dominik Janzing, Daniel Herrmann posted to bayesnet inference learning-theory machine-learning sparsity by arsyed on 2009-08-08 03:06:02 as
	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
	Aggregation via empirical risk minimization [My Copy] Probability Theory and Related Fields, Vol. 145, No. 3. (1 November 2009), pp. 591-613. by Guillaume Lecué, Shahar Mendelson posted to ensemble learning-theory machine-learning by arsyed on 2009-08-05 06:36:24 as along with 1 person and 1 group mdreid Statistical Machine Learning
	Learning the K in K-Means [My Copy] In In Neural Information Processing Systems, Vol. 17 (2003) by Greg Hamerly, Charles Elkan posted to clustering kmeans machine-learning by arsyed on 2009-08-04 06:54:37 as along with 1 person ianhales
	Structure learning in Nested Effects Models. [My Copy] Statistical applications in genetics and molecular biology, Vol. 7, No. 1. (2008) by A. Tresch, F. Markowetz posted to bioinformatics graphical-models machine-learning by arsyed on 2009-07-22 15:50:28 as along with 2 people czeller tresch
	Comparison of SNP tagging methods using empirical data: association study of 713 SNPs on chromosome 12q14.3-12q24.21 for asthma and total serum IgE in an African Caribbean population [My Copy] Genetic Epidemiology, Vol. 30, No. 7. (2006), pp. 609-619. by Peter B. Chi, Priya Duggal, W. H. Linda Kao, et al.Rasika A. Mathias, Audrey V. Grant, Maria L. Stockton, Joe G. N. Garcia, Roxann G. Ingersoll, Alan F. Scott, Terri H. Beaty, Kathleen C. Barnes, M. Daniele Fallin posted to bioinformatics comparison machine-learning snp tagging by arsyed on 2009-07-22 03:06:51 as
	BNTagger: improved tagging SNP selection using Bayesian networks [My Copy] Bioinformatics, Vol. 22, No. 14. (15 July 2006), pp. e211-219. by Phil H. Lee, Hagit Shatkay posted to bayesnet bioinformatics machine-learning snp tagging by arsyed on 2009-07-22 03:02:33 as
	A systems approach to mapping DNA damage response pathways. [My Copy] Science (New York, N.Y.), Vol. 312, No. 5776. (19 May 2006), pp. 1054-1059. by C. T. Workman, H. C. Mak, S. McCuine, et al.J. B. Tagne, M. Agarwal, O. Ozier, T. J. Begley, L. D. Samson, T. Ideker posted to biology machine-learning networks by arsyed on 2009-07-07 07:47:12 as along with 9 people nzm roys isimpson biozhang2001 jfr nirfriedman cconboy koller tmmurali
	Advances to Bayesian network inference for generating causal networks from observational biological data [My Copy] Bioinformatics, Vol. 20, No. 18. (12 December 2004), pp. 3594-3603. by Jing Yu, V. Anne Smith, Paul P. Wang, Alexander J. Hartemink, Erich D. Jarvis posted to bayesnet biology machine-learning networks by arsyed on 2009-07-07 07:45:20 as along with 5 people Neeperando Borelli ggallone heliopais roys
	Genetic Algorithms in Search, Optimization, and Machine Learning [My Copy] (1989) by D. E. Goldberg posted to genetic-algorithms machine-learning optimization by arsyed on 2009-06-20 10:44:57 as along with 1 person and 3 groups mriba Pattern-Analysis Bioinformatics EvolutionaryComputation
	Classifiers: A theoretical and empirical study [My Copy] In IJCAI (1991), pp. 638-644. by W. L. Buntine posted to classification machine-learning by arsyed on 2009-06-20 10:43:50 as along with 3 people and 3 groups education03 blog01 mriba Pattern-Analysis Bioinformatics EvolutionaryComputation
	A Theory of Learning Classification Rules [My Copy] (February 1990) by W. L. Buntine posted to classification machine-learning by arsyed on 2009-06-20 10:42:44 as along with 1 person and 3 groups mriba Pattern-Analysis Bioinformatics EvolutionaryComputation
	On-line predictive linear regression [My Copy] (17 Jun 2009) by Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman posted to machine-learning on-line regression statistics by arsyed on 2009-06-19 00:58:30 as
	A Test to Determine the Multivariate Normality of a Data Set [My Copy] IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 10, No. 5. (1988), pp. 757-761. by S. P. Smith, A. K. Jain posted to algorithms machine-learning multivariate normality statistics tests by arsyed on 2009-06-16 00:45:11 as
	Classifier Technology and the Illusion of Progress [My Copy] (19 Jun 2006) by David J. Hand posted to classification machine-learning by arsyed on 2009-05-30 20:05:21 as along with 2 people and 1 group rdiaz mdreid Statistical Machine Learning
	Statistical mining in data streams [My Copy] (2006) by Ankur Jain posted to data-mining data-stream machine-learning statistics by arsyed on 2009-05-29 21:21:50 as
	Statistical Learning Theory: Models, Concepts, and Results [My Copy] (27 Oct 2008) by Ulrike von Luxburg, Bernhard Schoelkopf posted to machine-learning statistical-learning-theory by arsyed on 2009-03-26 19:35:11 as along with 4 people and 1 group mdreid ansobol dah robotact Statistical Machine Learning
	Theory of classification : A survey of some recent advances [My Copy] ESAIM: Probability and Statistics, Vol. 9 (2005), pp. 323-375. by Stéphane Boucheron, Olivier Bousquet, Gabor Lugosi posted to classification machine-learning by arsyed on 2009-03-26 19:34:19 as along with 3 people and 1 group idlebrain jorgeac mdreid Statistical Machine Learning
	Extracting hidden context [My Copy] In Machine Learning, Vol. 32 (1998), pp. 101-126. by Michael B. Harries, Claude Sammut, Kim Horn posted to concept-drift machine-learning by arsyed on 2009-02-27 03:40:30 as
	The impact of changing populations on classifier performance [My Copy] In KDD '99: Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining (1999), pp. 367-371. by Mark G. Kelly, David J. Hand, Niall M. Adams posted to distributions data-stream population-drift concept-drift machine-learning by arsyed on 2009-02-27 03:34:47 as along with 2 people rlichten wryun
	A framework for monitoring classifiers’ performance: when and why failure occurs? [My Copy] Knowledge and Information Systems by David Cieslak, Nitesh Chawla posted to classification failure performance concept-drift machine-learning by arsyed on 2009-02-27 03:32:10 as along with 2 people rlichten jjrodriguez
	Temporal Dynamics of On-Line Information [My Copy] by Streams J. Kleinberg posted to dynamics information temporal data-stream machine-learning time-series by arsyed on 2009-02-27 03:11:00 as along with 1 person scis0000001
	A dynamic hmm for on-line segmentation of sequential data [My Copy] (2001) by J. Kohlmorgen, S. Lemm posted to segmentation time-series sequential-data change-detection machine-learning by arsyed on 2009-02-27 03:00:55 as along with 1 person Scis0000002
	Dynamic integration of classifiers for handling concept drift [My Copy] Information Fusion In Special Issue on Applications of Ensemble Methods, Vol. 9, No. 1. (January 2008), pp. 56-68. by Alexey Tsymbal, Mykola Pechenizkiy, Pádraig Cunningham, Seppo Puuronen posted to ensemble concept-drift machine-learning by arsyed on 2009-02-27 02:58:26 as along with 1 person jjrodriguez
	Just-in-Time Adaptive Classifiers; Part I: Detecting Nonstationary Changes [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 19, No. 7. (2008), pp. 1145-1153. by C. Alippi, M. Roveri posted to data-stream change-detection concept-drift machine-learning by arsyed on 2009-02-27 02:56:39 as along with 2 people sdvillal jjrodriguez
	Mining concept-drifting data streams using ensemble classifiers [My Copy] In KDD '03: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining (2003), pp. 226-235. by Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han posted to data-stream concept-drift machine-learning by arsyed on 2009-02-27 02:30:51 as along with 4 people pbk jjrodriguez rlichten tsoumakas
	Systematic data selection to mine concept-drifting data streams [My Copy] In KDD '04: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining (2004), pp. 128-137. by Wei Fan posted to data-stream concept-drift machine-learning by arsyed on 2009-02-27 02:29:42 as along with 1 person rlichten
	Meta-Learning, Model Selection, and Example Selection in Machine Learning Domains with Concept Drift [My Copy] by Ralf Klinkenberg posted to concept-drift machine-learning by arsyed on 2009-02-27 02:25:41 as along with 1 person rlichten
	Learning in the Presence of Concept Drift and Hidden Contexts [My Copy] Machine Learning, Vol. 23, No. 1. (1 April 1996), pp. 69-101. by Gerhard Widmer, Miroslav Kubat posted to concept-drift machine-learning by arsyed on 2009-02-27 02:23:24 as along with 1 person rlichten
	An Introduction to Ensemble Methods for Data Analysis [My Copy] Sociological Methods Research, Vol. 34, No. 3. (1 February 2006), pp. 263-295. by Richard A. Berk posted to ensemble reqmon statistics machine-learning by arsyed on 2009-02-24 20:05:42 as
	Popular ensemble methods: an empirical study [My Copy] Journal of Artificial Intelligence Research, Vol. 11 (1999), pp. 169-198. by David Opitz, Richard Maclin posted to ensemble reqmon statistics machine-learning by arsyed on 2009-02-24 20:04:16 as
	The Problem of Concept Drift: Definitions and Related Work [My Copy] (2004) by Alexey Tsymbal posted to reqmon data-mining data-stream concept-drift machine-learning by arsyed on 2009-02-24 20:00:24 as along with 2 people nmsx jrcoffi
	Measures of Clustering Quality: A Working Set of Axioms for Clustering [My Copy] In Proceedings of the 22nd Annual Conference on Neural Information Systems Processing (2008) by Margareta Ackerman, Shai Ben-David posted to clustering machine-learning by arsyed on 2008-12-16 05:19:45 as along with 2 people and 1 group shpigi mdreid Statistical Machine Learning
	A Tutorial on Support Vector Machines for Pattern Recognition [My Copy] Data Mining and Knowledge Discovery, Vol. 2, No. 2. (1998), pp. 121-167. by Christopher J. C. Burges posted to svm tutorial machine-learning pattern-recognition by arsyed on 2006-10-19 21:20:57 as along with 14 people and 1 group megraw pdlug MatMay okarsligil chad_davis buescher76 claudio mystery KaraNagai julial thaukko cwr clickstone abellogin Bioinformatics
	An overview of statistical learning theory [My Copy] Neural Networks, IEEE Transactions on, Vol. 10, No. 5. (1999), pp. 988-999. by V. N. Vapnik posted to vapnik machine-learning statistical-learning-theory by arsyed on 2006-04-22 23:38:47 as along with 18 people and 9 groups makni thefillm sourada A_Olympia yaroslavvb anoopsarkar gangli eme garyfeng yish sdvillal gane5h dwf atbrew d_burfoot rsantana balduzzi fredguilloux Philosophy_of_Information Blog_and_Wiki_Research tulip ReadingLab astro mathgamespatterns dtl vds-arg eni
	Unsupervised Learning by Probabilistic Latent Semantic Analysis [My Copy] Mach. Learn., Vol. 42, No. 1-2. (2001), pp. 177-196. by Thomas Hofmann posted to unsupervised machine-learning by arsyed on 2005-11-03 04:26:05 as along with 2 people and 1 group ldietz bpacker vision-ng

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arsyed's machine-learning [37 articles] Export

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