Tag feature_selection [at least 200 articles] Export

Recent papers classified by the tag feature_selection.

	Feature selection and nearest centroid classification for protein mass spectrometry. [My Copy] BMC bioinformatics, Vol. 6 (2005) by Ilya Levner posted to feature_selection class_imbalance by laral on 2009-11-11 17:52:09 as along with 2 people misonneh mass
	Asymmetric bagging and feature selection for activities prediction of drug molecules [My Copy] BMC Bioinformatics, Vol. 9, No. Suppl 6. (2008), S7. by Guo Z. Li, Hao H. Meng, Wen C. Lu, Jack Yang, Mary Yang posted to feature_selection class_imbalance by laral on 2009-11-11 17:50:13 as
	Feature Selection and the Class Imbalance Problem in Predicting Protein Function from Sequence [My Copy] Applied Bioinformatics (2005), pp. 195-203. by Ali Al-Shahib, Rainer Breitling, David Gilbert posted to feature_selection class_imbalance by laral on 2009-11-11 17:47:39 as along with 1 person sdvillal
	A Regularized Method for Selecting Nested Groups of Relevant Genes from Microarray Data [My Copy] (10 Sep 2008) by Christine De Mol, Sofia Mosci, Magali Traskine, Alessandro Verri posted to microarray_analysis feature_selection by jfr on 2009-11-10 17:37:08 as
	Biomarker identification by feature wrappers. [My Copy] Genome research, Vol. 11, No. 11. (November 2001), pp. 1878-1887. by M. Xiong, X. Fang, J. Zhao posted to feature_selection cluster biomarker array by misonneh on 2009-11-10 06:23:43 as along with 1 person archroad
	Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples [My Copy] PLoS Comput Biol, Vol. 5, No. 4. (10 April 2009), e1000352. by James R. White, Niranjan Nagarajan, Mihai Pop posted to genomics feature_selection by jfr on 2009-11-08 22:39:28 as along with 12 people and 2 groups CorinYeats dayjm taylor73 Thaverkamp hpaces sriesenfeld APRegier dswan druvus djkt skembel idoerg Orengo Group Journal Picks iSEEM
	Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions [My Copy] Bioinformatics, Vol. 19, No. 12. (12 August 2003), pp. 1484-1491. by R. L. Somorjai, B. Dolenko, R. Baumgartner posted to mass_spectra feature_selection dimensionality_reduction by Shibby on 2009-11-05 11:29:31 as along with 1 person olberd
	A review of feature selection techniques in bioinformatics [My Copy] Bioinformatics, Vol. 23, No. 19. (1 October 2007), pp. 2507-2517. by Yvan Saeys, Inaki Inza, Pedro Larranaga posted to feature_selection data_mining by Shibby on 2009-11-05 10:18:34 as along with 27 people and 1 group zufar stharward jjrodriguez briordan phoenixzxl ipark-kaist prerna svozil bertelsen VGreiff rsantana druvus jfr giovenko guhjy chad_davis aviad_work frohike grahamc shigepong lp2 cabbagezs ryanraaum vietanh0 eacosta aaalxy srp33 Bioinformatics
	Sparse linear discriminant analysis for simultaneous testing for the significance of a gene set/pathway and gene selection [My Copy] Bioinformatics, Vol. 25, No. 9. (1 May 2009), pp. 1145-1151. by Michael C. Wu, Lingsong Zhang, Zhaoxi Wang, David C. Christiani, Xihong Lin posted to pathway_analysis gene_set_analysis feature_selection by jfr on 2009-11-03 17:20:53 as along with 4 people praisan rdiaz ipark-kaist guhjy
	A flexible two-stage procedure for identifying gene sets that are differentially expressed. [My Copy] Bioinformatics (Oxford, England), Vol. 25, No. 8. (15 April 2009), pp. 1019-1025. by Ruth Heller, Elisabetta Manduchi, Gregory R. Grant, Warren J. Ewens posted to gene_set_analysis feature_selection by jfr on 2009-11-02 17:18:58 as along with 6 people zufar renatomilani dswan shikin guhjy rdiaz
	A Two-Stage Feature Selection Method for Gene Expression Data. [My Copy] Omics : a journal of integrative biology (30 January 2009) by Li-Yeh Y. Chuang, Chao-Hsuan H. Ke, Hsueh-Wei W. Chang, Cheng-Hong H. Yang posted to feature_selection classification by jfr on 2009-11-02 17:06:02 as
	New gene selection method for multiclass tumor classification by class centroid. [My Copy] Journal of biomedical informatics, Vol. 42, No. 1. (February 2009), pp. 59-65. by Qi Shen, Wei-min M. Shi, Wei Kong posted to feature_selection classification by jfr on 2009-11-02 15:57:42 as
	PADGE: analysis of heterogeneous patterns of differential gene expression. [My Copy] Physiological genomics, Vol. 32, No. 1. (19 December 2007), pp. 154-159. by Li Li, Amitabha Chaudhuri, John Chant, Zhijun Tang posted to gene_expression feature_selection by jfr on 2009-11-02 15:38:14 as along with 2 people guhjy chrisamiller
	Mutual information-based SVM-RFE for diagnostic classification of digitized mammograms [My Copy] Pattern Recognition Letters, Vol. 30, No. 16. (01 December 2009), pp. 1489-1495. by Sejong Yoon, Saejoon Kim posted to feature_selection by jjrodriguez on 2009-10-31 10:57:02 as
	Wood Defect Recognition With Self-Organizing Feature Selection [My Copy] In Proc. SPIE Conf. on Intelligent Robots and Computer Vision XIII: Algorithms and Computer (1994) by Jouko Lampinen, Seppo Smolander posted to wood_inspection self_organization feature_selection defect_detection by corgan on 2009-10-30 18:54:41 as
	Visual inspection of machined metallic high-precision surfaces [My Copy] EURASIP J. Appl. Signal Process., Vol. 2002, No. 1. (2002), pp. 667-678. by Franz Pernkopf, Paul O'Leary posted to segmentation metal_inspection feature_selection feature_extraction defect_detection classification bearing by corgan on 2009-10-30 18:42:58 as
	Ultrahigh Dimensional Feature Selection: Beyond The Linear Model [My Copy] Journal of Machine Learning Research, Vol. 10 (September 2009), pp. 2013-2038. by Jianqing Fan, Richard Samworth, Yichao Wu posted to high_dimensional_learning generalized_linear_models feature_selection by bedo on 2009-10-27 21:23:22 as
	Applying wavelets transform, rough set theory and support vector machine for copper clad laminate defects classification [My Copy] Expert Systems with Applications, Vol. 36, No. 3. (April 2009), pp. 5822-5829. by Te-Sheng Li posted to wavelet_transform support_vector_machine feature_selection feature_extraction defect_detection copper_clad_laminate classification by corgan on 2009-10-25 08:18:38 as
	Good features to track [My Copy] Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on In Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on (1994), pp. 593-600. by Jianbo Shi, C. Tomasi posted to feature_tracking feature_selection by bedieber on 2009-10-22 09:37:01 as along with 5 people quam ferryzhou alucchi tyler AnthonyRemazeilles
	Simultaneous Structure Identification and Fuzzy Rule Generation for Takagi-Sugeno Models [My Copy] Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on, Vol. 38, No. 6. (18 November 2008), pp. 1626-1638. by N. R. Pal, S. Saha posted to fuzzy_modeling feature_selection by corgan on 2009-10-21 17:17:12 as
	REDUS: finding reducible subspaces in high dimensional data [My Copy] In Proc. of the ACM Conf. on Information and Knowledge Management (CIKM) (2008), pp. 961-970. by Xiang Zhang, Feng Pan, Wei Wang posted to reducibile_subspace high_dimensional_data feature_selection dimensionality_reduction by sona on 2009-10-02 10:16:20 as
	Tailored Aggregation for Classification [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 31, No. 11. (12 March 2009), pp. 2098-2105. by Tristan Mary-Huard, Stephane Robin posted to feature_selection dimensionality_reduction by jjrodriguez on 2009-09-29 18:27:16 as
	Filtering Genes for Cluster and Network Analysis [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (2009), 193. by David Tritchler, Elena Parkhomenko, Joseph Beyene posted to feature_selection by zufar on 2009-09-23 16:21:51 as along with 6 people and 1 group dswan shikin lwaldron rdiaz bertelsen erexhepa Bioinformatics
	Resampling methods for parameter-free and robust feature selection with mutual information [My Copy] Neurocomputing, Vol. 70, No. 7-9. (March 2007), pp. 1276-1288. by D. Francois, F. Rossi, V. Wertz, M. Verleysen posted to resampling_methods feature_selection by srp33 on 2009-09-04 18:44:24 as along with 2 people makrehchi mmunson
	Advances in Feature Selection with Mutual Information [My Copy] (3 Sep 2009) by Michel Verleysen, Fabrice Rossi, Damien François posted to feature_selection by jjrodriguez on 2009-09-04 09:33:41 as along with 1 person ansobol
	Consensus group stable feature selection [My Copy] In KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009), pp. 567-576. by Steven Loscalzo, Lei Yu, Chris Ding posted to feature_selection ensemble by jjrodriguez on 2009-09-02 16:02:41 as
	Robust Feature Selection Using Ensemble Feature Selection Techniques [My Copy] In ECML PKDD '08: Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II (2008), pp. 313-325. by Yvan Saeys, Thomas Abeel, Yves Peer posted to feature_selection ensemble by jjrodriguez on 2009-09-02 15:55:19 as along with 1 person gabriprat
	A New Host-Based Hybrid IDS Architecture - A Mind Of Its Own: The Know-how Of Host-Based Hybrid Intrusion Detection System Architecture Using Machine Learning Algorithms With Feature Selection [My Copy] (03 July 2009) by Murat Topallar posted to weka self_organizing_map rule_mining rule_extraction pattern_recognition neural_network network_security misuse_detection machine_learning_tool machine_learning_algorithm machine_learning kddcup_99 intrusion_detection_system intrusion_detection internet_security internet_attack information_security ids hybrid_intrusion_detection host_security host-based_intrusion_detection host-based_hybrid_intrusion_detection feature_selection feature_extraction dos detection_rate denial_of_service decision_tree decision_making data_mining darpa computer_security clustering classification_rate classification c_4-5_algorithm buffer_overflow attack_database attack_classification arff anomaly_detection by mtopallar to the group Security on 2009-08-27 01:20:57 as along with 5 groups Pattern-Analysis NeuralNetworks IDS Feature Selection DSS
	Tabu search for attribute reduction in rough set theory [My Copy] Soft Computing - A Fusion of Foundations, Methodologies and Applications, Vol. 12, No. 9. (1 July 2008), pp. 909-918. by Abdel-Rahman Hedar, Jue Wang, Masao Fukushima posted to feature_selection evolutionary by jjrodriguez on 2009-08-26 13:04:03 as
	Identifying genes that contribute most to good classification in microarrays. [My Copy] BMC bioinformatics, Vol. 7 (07 September 2006), 407. by Stuart G. Baker, Barnett S. Kramer posted to feature_selection by srp33 on 2009-08-21 22:56:26 as along with 5 people aezrin frohike jfr rdiaz shigepong
	Identification of a gene signature in cell cycle pathway for breast cancer prognosis using gene expression profiling data. [My Copy] BMC medical genomics, Vol. 1, No. 1. (2008), 39. by Jiangang Liu, Andrew Campen, Shuguang Huang, et al.Sheng-Bin B. Peng, Xiang Ye, Mathew Palakal, A. Keith Dunker, Yuni Xia, Shuyu Li posted to prior_knowledge feature_selection cell_cycle by srp33 on 2009-08-21 22:14:19 as along with 1 person frohike
	Toward integrating feature selection algorithms for classification and clustering [My Copy] Knowledge and Data Engineering, IEEE Transactions on, Vol. 17, No. 4. (2005), pp. 491-502. by Huan Liu, Lei Yu posted to feature_selection clustering by jjrodriguez on 2009-08-11 15:34:08 as along with 3 people yesky dimatura eacosta
	Subspace based feature selection for pattern recognition [My Copy] Information Sciences, Vol. 178, No. 19. (01 October 2008), pp. 3716-3726. by S. Gunal, R. Edizkan posted to feature_selection random_subspace by jjrodriguez on 2009-08-04 11:12:38 as
	An improvement on floating search algorithms for feature subset selection [My Copy] Pattern Recognition, Vol. 42, No. 9. (September 2009), pp. 1932-1940. by Songyot Nakariyakul, David P. Casasent posted to feature_selection by jjrodriguez on 2009-07-27 11:30:22 as
	Matching methods for observational microarray studies [My Copy] Bioinformatics, Vol. 25, No. 7. (1 April 2009), pp. 904-909. by Ruth Heller, Elisabetta Manduchi, Dylan S. Small posted to confounders feature_selection multiple_testing study_design by jfr to the group Bioinformatics on 2009-07-22 16:24:48 as along with 3 people neils guhjy renatomilani
	Testing significance relative to a fold-change threshold is a TREAT. [My Copy] Bioinformatics (Oxford, England), Vol. 25, No. 6. (15 March 2009), pp. 765-771. by Davis J. McCarthy, Gordon K. Smyth posted to bioconductor feature_selection filtering multiple_testing software by jfr to the group Bioinformatics on 2009-07-17 16:03:44 as along with 12 people shikin VGreiff lwaldron rschulz kmdaily rdiaz heliopais dswan bertelsen guhjy renatomilani paszkows
	Detecting intergene correlation changes in microarray analysis: a new approach to gene selection [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (2009), 20. by Rui Hu, Xing Qiu, Galina Glazko, Lev Klebanov, Andrei Yakovlev posted to co-expression correlation feature_selection by jfr to the group Bioinformatics on 2009-07-09 12:44:48 as along with 9 people zufar sotacam BUR44Dcul rdiaz provero Zephyrus renatomilani guhjy irinamohorianu
	Incorporating pathway information into boosting estimation of high-dimensional risk prediction models [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (2009), 18. by Harald Binder, Martin Schumacher posted to classification feature_selection pathway by jfr to the group Bioinformatics on 2009-07-09 12:42:13 as along with 5 people zufar ajbattle rdiaz guhjy mdstobbe
	Filtering for increased power for microarray data analysis. [My Copy] BMC bioinformatics, Vol. 10 (08 January 2009), 11. by A. J. Hackstadt, A. M. Hess posted to feature_selection filtering power_analysis by jfr on 2009-07-06 12:34:26 as along with 6 people and 1 group Zephyrus greg rdiaz guhjy nuin dswan Bioinformatics
	Floating search methods for feature selection with nonmonotonic criterion functions [My Copy] Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on In Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on, Vol. 2 (1994), pp. 279-283 vol.2. by P. Pudil, F. J. Ferri, J. Novovicova, J. Kittler posted to feature_selection by jjrodriguez on 2009-07-05 16:46:14 as along with 2 people drivard atbrew
	Random subspace method for multivariate feature selection [My Copy] Pattern Recognition Letters, Vol. 27, No. 10. (15 July 2006), pp. 1067-1076. by Carmen Lai, Marcel J. Reinders, Lodewyk Wessels posted to feature_selection by jjrodriguez on 2009-07-03 16:26:22 as along with 2 people and 2 groups librain sona Random Subspace Method LIBrain
	Feature selection for high-dimensional data: A fast correlation-based filter solution [My Copy] In in ICML (2003), pp. 856-863. by Lei Yu, Huan Liu posted to feature_selection by jjrodriguez on 2009-07-03 15:41:02 as along with 2 people Scis0000002 gabriprat
	MDL and Categorial Theories (Continued) [My Copy] In International Conference on Machine Learning (1995), pp. 464-470. by Ross J. Quinlan posted to classification evaluation feature_selection machine_learning mining by Dori2008 on 2009-07-03 14:25:48 as along with 1 person scis0000001
	Learning Logical Definitions from Relations [My Copy] Machine Learning, Vol. 5, No. 3. (1 August 1990), pp. 239-266. by J. R. Quinlan posted to classification decisions evaluation feature_selection machine_learning mining by Dori2008 on 2009-07-03 14:22:19 as along with 3 people anib pinventado pewu
	Applying cascaded feature selection to SVM text categorization [My Copy] Database and Expert Systems Applications, 2002. Proceedings. 13th International Workshop on In Database and Expert Systems Applications, 2002. Proceedings. 13th International Workshop on (2002), pp. 241-245. by T. Masuyama, H. Nakagawa posted to feature_selection by jjrodriguez on 2009-07-03 13:33:54 as
	Bias in error estimation when using cross-validation for model selection [My Copy] BMC Bioinformatics, Vol. 7, No. 1. (23 February 2006), 91. by Sudhir Varma, Richard Simon posted to feature_selection machine_learning by srp33 on 2009-07-01 18:00:14 as along with 5 people librain gkvas guhjy chad_davis rdiaz
	A voting approach to identify a small number of highly predictive genes using multiple classifiers. [My Copy] BMC bioinformatics, Vol. 10 Suppl 1 (2009) by M. R. Hassan, M. M. Hossain, J. Bailey, G. Macintyre, J. W. Ho, K. Ramamohanarao posted to classification feature_selection by jfr on 2009-06-26 16:25:31 as
	Multi-class cancer subtype classification based on gene expression signatures with reliability analysis [My Copy] FEBS Letters, Vol. 561, No. 1-3. (12 March 2004), pp. 186-190. by Li M. Fu, Casey S. Fu-Liu posted to feature_selection multiclass by srp33 on 2009-06-15 16:45:46 as
	Comparison of statistical data models for identifying differentially expressed genes using a generalized likelihood ratio test. [My Copy] Gene regulation and systems biology :, Vol. 2 (2008), pp. 125-139. by Kok-Yong Y. Seng, Robb W. Glenny, David K. Madtes, Mary E. Spilker, Paolo Vicini, Sina A. Gharib posted to comparison feature_selection by jfr on 2009-06-15 16:34:53 as
	Feature selection environment for genomic applications [My Copy] BMC Bioinformatics, Vol. 9, No. 1. (22 October 2008), 451. by Fabricio Lopes, David Martins, Roberto Cesar posted to classification feature_selection software by jfr on 2009-06-12 09:25:47 as along with 6 people rdiaz TRHvidsten GustavoG imina lptolik operon

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classification	88
clustering	22
machine_learning	22
statistics	22
fdr	20
algorithm	19
microarray	19
bioinformatics	17
methodology	17
data_mining	13
structure	12
svm	12
ensemble	11
microarray_analysis	10
pattern_recognition	10
software	10
dimensionality_reduction	9
feature_extraction	9
decision_tree	8
information_theory	8
neural_network	8
review	8
anomaly_detection	7
arff	7
attack_classification	7
attack_database	7
buffer_overflow	7
c_4-5_algorithm	7
classification_rate	7
computer_security	7
darpa	7
decision_making	7
denial_of_service	7
detection_rate	7
dos	7
host-based_hybrid_intrusion_detection	7
host-based_intrusion_detection	7
host_security	7
hybrid_intrusion_detection	7
ids	7
information_security	7
internet_attack	7
internet_security	7
intrusion_detection	7
intrusion_detection_system	7
kddcup_99	7
machine_learning_algorithm	7
machine_learning_tool	7
mdl	7
misuse_detection	7
network_security	7
rule_extraction	7
rule_mining	7
self_organizing_map	7
weka	7
binding	6
evaluation	6
feature_sets	6
lasso	6
multiple_testing	6
2008	5
bioconductor	5
comparison	5
elastic-net	5
ml	5
survey	5
alignment	4
confounders	4
disorder	4
embedded-feature-selection	4
gene_expression	4
gwas	4
model_selection	4
proj_disocons	4
proj_interprets	4
proj_stabperf	4
proteomics	4
service	4
text_mining	4
time_series	4
affy	3
annotation	3
biomarker	3
class_imbalance	3
co-expression	3
defect_detection	3
feature-ranking	3
filtering	3
gene_set_analysis	3
genomics	3
kdd	3
meta-analysis	3
proj_assembly	3
random-subspace-method	3
regression	3
regularization	3
sparse-learning	3
validation	3
weighting-feature-selection	3
wrapper-feature-selection	3

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