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	Random Forests [My Copy] Machine Learning, Vol. 45, No. 1. (1 October 2001), pp. 5-32. by Leo Breiman posted to machine_learning classifiers by srp33 on 2009-11-03 22:24:16 as along with 22 people and 1 group ucbcjbm sona felixandrews Borelli ipark-kaist alexeigor dekrays mdifranc wicker alinatunin kliger polykrates abrentnall kaarsinogen sdvillal maheshj lp2 poluxmoon jdu AbnerCYH carlk yaroslavvb Random Subspace Method
	Measuring classifier performance: a coherent alternative to the area under the ROC curve [My Copy] Machine Learning, Vol. 77, No. 1. (1 October 2009), pp. 103-123. by David Hand posted to roc_curve objective classifiers auc by humburg on 2009-10-19 23:23:39 as along with 3 people and 1 group gotgenes neils abrentnall QFRMC_ConsumerCredit
	Component-based discriminative classification for hidden Markov models [My Copy] Pattern Recogn., Vol. 42, No. 11. (2009), pp. 2637-2648. by Manuele Bicego, Elbieta Pekalska, David M. J. Tax, Robert P. W. Duin posted to work hidden_markov_models gesture_recognition classifiers by banus on 2009-10-15 15:19:15 as
	CMA - A comprehensive Bioconductor package for supervised classification with high dimensional data [My Copy] BMC Bioinformatics, Vol. 9, No. 1. (2008) by Martin Slawski, Martin Daumer, Anne L. Boulesteix posted to classifiers bioconductor by Stew to the group Bioinformatics - CRUK on 2009-10-13 16:15:51 as along with 9 people anf jfr akastrin rdiaz nuin guhjy druvus pengchy GeeSharpMinor
	Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems) [My Copy] (22 June 2005) by Ian H. Witten, Eibe Frank posted to predictive_performance input_noise evaluation_measure data_mining classifiers by installe on 2009-10-02 12:39:26 as along with 48 people and 6 groups jo-hannes anib singhsh tomjad malibu pinventado alexjfalcao fiacobelli liamtoh333 tijszwinkels ihaque sugarexpletive karinaecomp gstiglic haiyeong imrchen baaic RafaUsyd tmancill druvus dullhunk GJNauta sb-3000 sammydre balicea sdvillal caporaso AbnerCYH brunomelo dejang mdifranc BastianSpanneberg velasco azazello ezralanglois pprett gmonce fernandohbc scorreia_pro csacca jdu bobychan napvasconcelos soramame_0518 abellogin quianominorleo eegilbert akastrin mlkd WAND AI biomedical-nlp RiSE CSBBGraphTheory
	A Bayesian Approach to Filtering Junk E-Mail [My Copy] In Learning for Text Categorization: Papers from the 1998 Workshop (1998) by Mehran Sahami, Susan Dumais, David Heckerman, Eric Horvitz posted to stroz-friedberg spam_filters naive_bayes machine-learning email classifiers bayesian_method by dmnapolitano on 2009-09-24 20:54:06 as along with 6 people and 1 group cchesher harperf dingdeng shilad dquercia ckanich GroupLens
	A systematic analysis of performance measures for classification tasks [My Copy] Inf. Process. Manage., Vol. 45, No. 4. (July 2009), pp. 427-437. by Marina Sokolova, Guy Lapalme posted to systematic_analysis predictive_performance evaluation_measure data_mining classifiers by installe on 2009-09-24 12:38:06 as
	Spam filters: bayes vs. chi-squared; letters vs. words [My Copy] In ISICT '03: Proceedings of the 1st international symposium on Information and communication technologies (2003), pp. 291-296. by Cormac O'Brien, Carl Vogel posted to word_level text_categorization stroz-friedberg spam_filters significance_measures email degrees_of_freedom classifiers chi-squared character_level bayesian_method by dmnapolitano on 2009-09-23 17:41:19 as along with 2 people jjamor craigtalbert
	MicroRNA classifiers for predicting prognosis of squamous cell lung cancer. [My Copy] Cancer research, Vol. 69, No. 14. (15 July 2009), pp. 5776-5783. by Mitch Raponi, Lesley Dossey, Tim Jatkoe, et al.Xiaoying Wu, Guoan Chen, Hongtao Fan, David G. Beer posted to prognosis microrna lung_cancer classifiers by frohike on 2009-09-03 10:08:14 as along with 2 people and 1 group giovenko misonneh MGEL Reading
	Named entity recognition through classifier combination [My Copy] In Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 (2003), pp. 168-171. by Radu Florian, Abe Ittycheriah, Hongyan Jing, Tong Zhang posted to training_resources maximum_entropy hidden_markov_model entity_recognition classifiers by thegoose on 2009-09-01 19:49:40 as along with 4 people and 2 groups guelke dmnapolitano arafalov vlachmore NLP Named Entity Recognition
	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 classifiers concept data drift ensemble mining streams by pbk on 2009-07-25 16:45:25 as along with 4 people arsyed jjrodriguez rlichten tsoumakas
	PACK: Profile Analysis using Clustering and Kurtosis to find molecular classifiers in cancer. [My Copy] Bioinformatics, Vol. 22, No. 18. (15 September 2006), pp. 2269-2275. by A. E. Teschendorff, A. Naderi, N. L. Barbosa-Morais, C. Caldas posted to all-possible-cancers classifications classifiers classifying clustering lattice-of-cancers molecular molecular-medicine network-of-cancers order-structures taxonomy-of-cancers by Scis0000002 on 2009-05-01 22:38:14 as along with 2 people macavity1g jfr
	The impact of functional connectivity changes on support vector machines mapping of fMRI data. [My Copy] Journal of neuroscience methods, Vol. 172, No. 1. (15 July 2008), pp. 94-104. by J. R. Sato, J. Mourão-Miranda, M. d. a. . G. Morais Martin, E. Amaro, P. A. Morettin, M. J. Brammer posted to classifiers fmri methods by davclark on 2009-04-11 01:49:54 as
	Machine learning classifiers and fMRI: a tutorial overview. [My Copy] NeuroImage, Vol. 45, No. 1 Suppl. (21 March 2009) by F. Pereira, T. Mitchell, M. Botvinick posted to classifiers fmri by davclark to the group Skills, Automaticity and Imaging Methods on 2009-04-11 01:49:03 as along with 6 people flieder jjrodriguez marrtin brockkirwan librain bhamcnil
	Exploring predictive and reproducible modeling with the single-subject FIAC dataset. [My Copy] Hum Brain Mapp, Vol. 27, No. 5. (May 2006), pp. 452-461. by X. Chen, F. Pereira, W. Lee, S. Strother, T. Mitchell posted to classifiers statistics by davclark to the group Skills, Automaticity and Imaging Methods on 2009-04-11 01:48:01 as along with 2 people pbellec librain
	Statistical Comparisons of Classifiers over Multiple Data Sets [My Copy] J. Mach. Learn. Res., Vol. 7 (2006), pp. 1-30. by Janez Demsar posted to classifiers statistics by davclark to the group Skills, Automaticity and Imaging Methods on 2009-04-11 01:44:54 as along with 3 people tmancill santi515 Ridz
	An Introduction to Variable and Feature Selection [My Copy] Journal of Machine Learning Research, Vol. 3 (March 2003), pp. 1157-1182. by Isabelle Guyon, André Elisseeff posted to classifiers statistics by davclark to the group Skills, Automaticity and Imaging Methods on 2009-04-11 01:43:15 as along with 6 people jdu pimmy stharward rramirezp ednarofi vlachmore
	PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data [My Copy] Neuroinformatics by Michael Hanke, Yaroslav Halchenko, Per Sederberg, Stephen Hanson, James Haxby, Stefan Pollmann posted to classifiers fmri methods by davclark to the group Skills, Automaticity and Imaging Methods on 2009-04-11 01:42:45 as
	Revealing representational content with pattern-information fMRI--an introductory guide. [My Copy] Social cognitive and affective neuroscience, Vol. 4, No. 1. (17 March 2009), pp. 101-109. by Marieke Mur, Peter A. Bandettini, Nikolaus Kriegeskorte posted to classifiers fmri methods by davclark to the group Skills, Automaticity and Imaging Methods on 2009-04-11 01:35:28 as along with 6 people nishiokov FrankLeone librain nkishan brockkirwan DHMarks
	How to compute reliability estimates and display confidence and tolerance intervals for pattern classifiers using the Bootstrap and 3-way multidimensional scaling (DISTATIS). [My Copy] NeuroImage, Vol. 45, No. 1. (1 March 2009), pp. 89-95. by H. Abdi, J. P. Dunlop, L. J. Williams posted to classifiers fmri methods by davclark to the group Skills, Automaticity and Imaging Methods on 2009-04-11 01:30:26 as
	Statistical approaches to functional neuroimaging data. [My Copy] Neuroimaging clinics of North America, Vol. 17, No. 4. (November 2007) by F. D. Bowman, Y. Guo, G. Derado posted to classifiers connectivity fmri methods by davclark to the group Skills, Automaticity and Imaging Methods on 2009-04-11 01:25:45 as along with 1 person librain
	Brain reading using full brain support vector machines for object recognition: There is no &\#8220;face&\#8221; identification area [My Copy] Neural Comput., Vol. 20, No. 2. (February 2008), pp. 486-503. by Stephen J. Hanson, Yaroslav O. Halchenko posted to classifiers fmri methods perception by davclark to the group Skills, Automaticity and Imaging Methods on 2009-04-11 01:23:48 as along with 3 people jjrodriguez jasonasm librain
	Theoretical, Statistical, and Practical Perspectives on Pattern-based Classification Approaches to the Analysis of Functional Neuroimaging Data. [My Copy] J Cogn Neurosci, Vol. 19, No. 11. (November 2007), pp. 1735-1752. by A. J. O'Toole, F. Jiang, H. Abdi, N. Pénard, J. P. Dunlop, M. A. Parent posted to classifiers fmri methods by davclark to the group Skills, Automaticity and Imaging Methods on 2009-04-11 01:11:33 as along with 4 people and 1 group nkishan omneuron sekulerlab adick VisionLab
	Quadratic Gabor filters for object detection [My Copy] Image Processing, IEEE Transactions on In Image Processing, IEEE Transactions on, Vol. 10, No. 2. (2001), pp. 218-230. by D. M. Weber, D. P. Casasent posted to classifiers correlation detection distortion-invariance filters formspqnn gabor nonlinear object pattern quadratic recognition wavelet by dannyblue on 2009-04-08 20:18:02 as
	A comparative evaluation of interactive segmentation algorithms [My Copy] Pattern Recognition (13 March 2009) by Kevin Mcguinness, Noel E. O’connor posted to classifiers evaluation growing image region segmentation thresholding by zimbo1 on 2009-04-07 08:54:17 as
	Benefits of Separable, Multilinear Discriminant Classification [My Copy] Pattern Recognition, 2006. ICPR 2006. 18th International Conference on In Pattern Recognition, 2006. ICPR 2006. 18th International Conference on, Vol. 3 (2006), pp. 1240-1243. by C. Bauckhage, T. Kaster posted to classifiers detection multilinear object tensor by cbauckhage on 2009-02-26 13:12:37 as
	Combining Pattern Classifiers: Methods and Algorithms [My Copy] (01 July 2004) by Ludmila I. Kuncheva posted to classifiers learning pattern-recognition by rsantana on 2009-02-17 23:01:27 as along with 6 people and 1 group operon sdvillal AbnerCYH napvasconcelos drivard abellogin CSBBGraphTheory
	Neural dissociation in the production of lexical versus classifier signs in ASL: Distinct patterns of hemispheric asymmetry [My Copy] Neuropsychologia, Vol. 47, No. 2. (January 2009), pp. 382-387. by G. Hickok, H. Pickell, E. Klima, U. Bellugi posted to asl brain classifiers language by espressofiend on 2009-02-02 23:25:46 as
	Bayesian Network Classifiers [My Copy] Mach. Learn., Vol. 29, No. 2-3. (1997), pp. 131-163. by Nir Friedman, Dan Geiger, Moises Goldszmidt posted to bayesian_networks classifiers naive_bayes seminal by robotact on 2009-01-31 19:26:22 as along with 2 people yeminjiao operon
	An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons [My Copy] Journal of Machine Learning Research, Vol. 9 (December 2008), pp. 2677-2694. by Salvador García, Francisco Herrera posted to classifiers learning by rsantana on 2009-01-15 14:54:33 as along with 3 people Dori2008 sdvillal jjrodriguez
	An en masse phenotype and function prediction system for Mus musculus. [My Copy] Genome biology, Vol. 9 Suppl 1 (2008) by M. Taşan, W. Tian, D. P. Hill, F. D. Gibbons, J. A. Blake, F. P. Roth posted to classifiers function_prediction machine_learning mouse prediction by eetadic on 2008-12-12 19:28:21 as along with 1 person guhjy
	On comparing classifiers: Pitfalls to avoid and a recommended approach [My Copy] Data Mining and Knowledge Discovery, Vol. 1 (1997), pp. 317-327. by Steven L. Salzberg posted to classifiers by Passerby on 2008-10-03 17:32:29 as along with 1 person operon
	Classifiers [My Copy] Language, Vol. 53, No. 2. (1977), pp. 285-311. by Keith Allan posted to chinese citeulike classifiers language linguistics morphology by susanchsiu on 2008-09-30 21:14:41 as along with 2 people and 1 group garyfeng tonytrifles ReadingLab
	Off-the-peg and bespoke classifiers for fraud detection [My Copy] Computational Statistics & Data Analysis, Vol. 52, No. 9. (15 May 2008), pp. 4521-4532. by Piotr Juszczak, Niall M. Adams, David J. Hand, Christopher Whitrow, David J. Weston posted to classifiers consumer credit fraud qfrmc svm by QFRMC to the group QFRMC_ConsumerCredit on 2008-08-05 12:38:59 as along with 2 people wryun sdvillal
	Numeral classifiers in Mandarin Chinese [My Copy] Journal of East Asian Linguistics, Vol. 16, No. 1. (March 2007), pp. 43-59. by Zhang, Hong posted to chinese classifiers number by ketangli on 2008-04-28 19:59:51 as
	The pragmatic function of numeral-classifiers in Mandarin Chinese [My Copy] Journal of Pragmatics, Vol. 32, No. 8. (July 2000), pp. 1113-1133. by Wendan Li posted to chinese classifiers number pragmatics semantics by ketangli on 2008-04-28 19:54:59 as along with 1 person tonytrifles
	Tensor-Based Filter Design Using Kernel Ridge Regression [My Copy] Image Processing, 2007. ICIP 2007. IEEE International Conference on In Proc. Int. Conf. on Image Processing, Vol. IV (2007), pp. 45-48. by C. Bauckhage posted to classifiers detection multilinear object tensor file-import-09-02-26 by cbauckhage on 2008-02-21 12:59:44 as
	Target Specific Compound Identification Using a Support Vector Machine [My Copy] Combinatorial Chemistry & High Throughput Screening, Vol. 10, No. 3. (March 2007), pp. 189-196. by Plewczynski, Dariusz, Von Grotthuss, et al. Marcin, H. Spieser, A. Stephane, Rychewski, Leszek, Wyrwicz, S. Lucjan, Ginalski, Krzysztof, Koch, Uwe posted to classifiers machine_learning svm by daevans on 2008-02-14 20:41:45 as
	Determining the Validity of a QSAR Model - A Classification Approach [My Copy] J. Chem. Inf. Model., Vol. 45, No. 1. (24 January 2005), pp. 65-73. by R. Guha, P. C. Jurs posted to classifiers qsar by daevans on 2007-11-03 18:23:16 as
	Enrichment of High-Throughput Screening Data with Increasing Levels of Noise Using Support Vector Machines, Recursive Partitioning, and Laplacian-Modified Naive Bayesian Classifiers [My Copy] Journal of Chemical Information and Modeling, Vol. 46, No. 1. (1 January 2006), pp. 193-200. by Meir Glick, Jeremy L. Jenkins, James H. Nettles, Hamilton Hitchings, John W. Davies posted to classifiers by daevans on 2007-11-03 18:06:33 as along with 2 people Gorzomagnificent sithmein
	Bayesian Interpretation of a Distance Function for Navigating High-Dimensional Descriptor Spaces [My Copy] J. Chem. Inf. Model., Vol. 47, No. 1. (22 January 2007), pp. 39-46. by M. Vogt, J. W. Godden, J. Bajorath posted to classifiers clustering machine_learning qsar by daevans on 2007-10-25 14:03:45 as along with 2 people jerome sithmein
	Learning classifier systems: a survey [My Copy] Soft Comput., Vol. 11, No. 11. (1 September 2007), pp. 1065-1078. by Olivier Sigaud, Stewart W. Wilson posted to ai classifiers survey by sharshera to the group SCAL on 2007-09-25 16:34:34 as along with 4 people bsilverthorn yeminjiao operon mbehdad
	Combining classifiers in text categorization [My Copy] In SIGIR '96: Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval (1996), pp. 289-297. by Leah S. Larkey, Bruce W. Croft posted to classifiers combining by Scis0000002 on 2007-09-19 14:01:32 as
	Comparing Bayesian Network Classifiers [My Copy] pp. 101-108. by Jie Cheng, Russell Greiner posted to bayesian classifiers networks by AbelThorne on 2007-07-04 13:53:40 as along with 2 people and 3 groups yeminjiao operon Neuroscience Computational-Neurobiology Inserm-U455
	Contemporary QSAR Classifiers Compared [My Copy] J. Chem. Inf. Model., Vol. 47, No. 1. (22 January 2007), pp. 219-227. by C. L. Bruce, J. L. Melville, S. D. Pickett, J. D. Hirst posted to classifiers machine_learning qsar by daevans on 2007-03-09 11:40:54 as along with 1 person JALumley
	Bagging Predictors [My Copy] Machine Learning, Vol. 24, No. 2. (1996), pp. 123-140. by Leo Breiman posted to bagging classifiers ensembles by KaraNagai on 2006-09-27 20:44:55 as along with 19 people and 3 groups brothers gyuli kevynct neteler kaarsinogen ChaTo lfriedl mukundn mthomure sdvillal lbatista Repton robincha girschick thangvu wlyu2001 eegilbert askom floares mlkd kdl LIVIA
	Interoperability through Emergent Semantics. A Semiotic Dynamics Approach [My Copy] Journal on Data Semantics (2006) by Luc Steels, Peter Hanappe posted to classifiers dynamics semanics semiotic by majak on 2006-06-29 12:40:06 as along with 1 group FAL
	Authorship attribution with Support Vector Machines [My Copy] (2000) by J. Diederich, J. Kindermann, E. Leopold, G. Paass posted to classifiers by harperf to the group GroupLens on 2005-12-15 19:40:52 as along with 1 person network02
	Language Structure and Categorization: A Study of Classifiers in Consumer Cognition, Judgment, and Choice [My Copy] The Journal of Consumer Research, Vol. 25, No. 2. (1998), pp. 108-122. by Bernd H. Schmitt, Shi Zhang posted to classifiers by tonytrifles on 2005-10-07 07:31:07 as
	The establishment of the classifier system and the grammaticalization of the morphosyntactic particle de in Chinese [My Copy] Language Sciences, Vol. 24, No. 1. (January 2002), pp. 1-15. by Yuzhi Shi, Charles N. Li posted to chinese classifiers linguistics ot by garyfeng to the group ReadingLab on 2005-10-04 14:36:32 as along with 1 person tonytrifles

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fmri	15
methods	13
chinese	9
linguistics	6
statistics	6
machine_learning	5
bayesian	4
detection	4
language	4
networks	4
object	4
ot	4
qsar	3
ai	2
auc	2
bayesian_method	2
bioconductor	2
clustering	2
concept	2
connectivity	2
correlation	2
data	2
data_mining	2
distortion-invariance	2
drift	2
dynamics	2
email	2
ensemble	2
evaluation_measure	2
filters	2
formspqnn	2
gabor	2
language_acquisition	2
learning	2
mining	2
multilinear	2
naive_bayes	2
nonlinear	2
number	2
objective	2
pattern	2
perception	2
predictive_performance	2
quadratic	2
recognition	2
roc_curve	2
semanics	2
semiotic	2
spam	2
spam_filters	2
streams	2
stroz-friedberg	2
survey	2
svm	2
tensor	2
wavelet	2
20-10-09	1
all-possible-cancers	1
asl	1
bagging	1
bayesian_networks	1
character_level	1
chi-squared	1
citeulike	1
classifying	1
combining	1
consumer	1
credit	1
ensembles	1
entity_recognition	1
fraud	1
gesture_recognition	1
growing	1
hidden_markov_model	1
hidden_markov_models	1
image	1
input_noise	1
journalclub	1
machine-learning	1
maximum_entropy	1
microrna	1
molecular	1
molecular-medicine	1
morphology	1
mouse	1
network-of-cancers	1
order-structures	1
pattern-recognition	1
pragmatics	1
prediction	1
prognosis	1
qfrmc	1
region	1
rob	1
segmentation	1
seminal	1
significance_measures	1
taxonomy-of-cancers	1
text_categorization	1
training_resources	1

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