Tag classification [more than 800 articles] Export

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	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted to statistics regression machine_learning classification by donnachie on 2009-11-06 14:56:40 as along with 57 people and 10 groups singhsh abellogin mahmoodr lop idlebrain makrehchi awarlau gabriprat gokopal alexeigor liamtoh333 amsantos minrmw brian eddymier roys akastrin robotact thefillm ansobol pdlug yaroslavvb bigga jelsas davidr gyuli garyfeng aufrank neteler leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman sbarthelme bedo AbnerCYH nojhan bamberg kgajos raiyar deysandeep petrposik dbgrant nmdang alfirk brianmc jung_dalglish dquercia blueskies Repton quianominorleo jaonary CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
	Text, Author-Function, and Appropriation in Modern Narrative: Toward a Sociology of Representation [My Copy] Critical Inquiry, Vol. 14, No. 3. (1988), pp. 431-447. by Robert Weimann posted to writing value texts text taxonomy sociology signs semiotics representation property narrative libraries knowledge extraction exchange classification categorization authors authority authoriality author_function appropriation by jannon on 2009-11-05 23:39:42 as
	Accurate molecular classification of cancer using simple rules [My Copy] BMC Medical Genomics, Vol. 2, No. 1. (2009), 64. by Xiaosheng Wang, Osamu Gotoh posted to selection micorarray herman feature classification cancer by ptrobajo on 2009-11-04 20:09:00 as along with 1 person phoenixzxl
	An introduction to artificial neural networks in bioinformatics--application to complex microarray and mass spectrometry datasets in cancer studies [My Copy] Brief Bioinform, Vol. 10, No. 3. (1 May 2009), pp. 315-329. by Lee J. Lancashire, Christophe Lemetre, Graham R. Ball posted to review neural_networks classification by jfr on 2009-11-04 11:20:37 as along with 7 people and 1 group giovenko eliasman m509396 barry brianb nuin renatomilani Bioinformatics
	Metastatic gene signatures and emerging novel prognostic tests in the management of early stage breast cancer. [My Copy] Clinical & experimental metastasis (18 April 2009) by Attila Tordai, Cornelia Liedtke, Lajos Pusztai posted to review prognosis gene_expression classification breast_cancer by jfr on 2009-11-04 10:24:26 as
	Distance Metric Learning for Large Margin Nearest Neighbor Classification [My Copy] J. Mach. Learn. Res., Vol. 10 (2009), pp. 207-244. by Kilian Q. Weinberger, Lawrence K. Saul posted to nn metric maximization margin mahalanobis lmnn learning large knn distance classification by e120265 on 2009-11-03 20:39:58 as
	The use of gene ontology evidence codes in preventing classifier assessment bias [My Copy] Bioinformatics, Vol. 25, No. 9. (1 May 2009), pp. 1173-1177. by Mark F. Rogers, Asa Ben-Hur posted to gene_ontology classification by jfr on 2009-11-03 17:15:49 as along with 4 people kshameer vkwn rdiaz dullhunk
	The tspair package for finding top scoring pair classifiers in R [My Copy] Bioinformatics, Vol. 25, No. 9. (1 May 2009), pp. 1203-1204. by Jeffrey T. Leek posted to software r classification by jfr on 2009-11-03 17:14:41 as along with 2 people guhjy rdiaz
	A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks. [My Copy] Breast cancer research and treatment (4 April 2009) by L. J. Lancashire, D. G. Powe, J. S. Reis-Filho, et al.E. Rakha, C. Lemetre, B. Weigelt, T. M. Abdel-Fatah, A. R. Green, R. Mukta, R. Blamey, E. C. Paish, R. C. Rees, I. O. Ellis, G. R. Ball posted to classification breast_cancer by jfr on 2009-11-02 17:50:14 as along with 1 person Zephyrus
	Quantitative assessment of tissue biomarkers and construction of a model to predict outcome in breast cancer using multiple imputation. [My Copy] Cancer informatics, Vol. 7 (2009), pp. 29-40. by John W. Emerson, Marisa Dolled-Filhart, Lyndsay Harris, David L. Rimm, David P. Tuck posted to classification breast_cancer by jfr on 2009-11-02 17:48:29 as
	Network-based support vector machine for classification of microarray samples. [My Copy] BMC bioinformatics, Vol. 10 Suppl 1 (2009) by Yanni Zhu, Xiaotong Shen, Wei Pan posted to svm classification by jfr on 2009-11-02 17:43:55 as along with 1 person iskathy
	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
	Copy number alterations that predict metastatic capability of human breast cancer. [My Copy] Cancer research, Vol. 69, No. 9. (1 May 2009), pp. 3795-3801. by Yi Zhang, John W. Martens, Jack X. Yu, et al.John Jiang, Anieta M. Sieuwerts, Marcel Smid, Jan G. Klijn, Yixin Wang, John A. Foekens posted to integration copy-number classification breast_cancer by jfr on 2009-11-02 16:57:47 as along with 4 people giovenko frohike kdpreter rdiaz
	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
	Parallelized prediction error estimation for evaluation of high-dimensional models. [My Copy] Bioinformatics (Oxford, England), Vol. 25, No. 6. (15 March 2009), pp. 827-829. by Christine Porzelius, Harald Binder, Martin Schumacher posted to software r hpc classification by jfr on 2009-11-02 14:57:38 as along with 3 people rdiaz agomez guhjy
	Classification and biomarker identification using gene network modules and support vector machines. [My Copy] BMC bioinformatics, Vol. 10, No. 1. (15 October 2009), 337. by Malik Yousef, Mohamed Ketany, Larry Manevitz, Louise C. Showe, Michael K. Showe posted to selection network geneset feature classification by ptrobajo on 2009-11-02 10:37:30 as along with 4 people and 1 group sillitoe ashishanand manduca frohike Orengo Group Journal Picks
	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
	The feature extraction and analysis of flaw detection and classification in BGA gold-plating areas [My Copy] Expert Systems with Applications, Vol. 35, No. 4. (November 2008), pp. 1771-1779. by Y. Chiou, C. Lin, B. Chiou posted to printed_circuit_boards neural_network feature_extraction defect_detection classification by corgan on 2009-10-30 17:33:40 as
	Stitching defect detection and classification using wavelet transform and BP neural network [My Copy] Expert Systems with Applications, Vol. 36, No. 2. (March 2009), pp. 3845-3856. by W. Wong, C. Yuen, D. Fan, L. Chan, E. Fung posted to wavelet_transform stitch neural_network fabric_inspection defect_detection classification binarization by corgan on 2009-10-30 17:10:58 as
	Self-Organizing Feature Extraction In Recognition Of Wood Surface Defects And Color Images [My Copy] International Journal of Pattern Recognition and Artificial Intelligence, Vol. 10 (1996), pp. 97-113. by Jouko Lampinen, Seppo Smolander posted to wood_inspection self_organization gabor_filter feature_extraction defect_detection classification by corgan on 2009-10-30 17:05:23 as
	Evaluating an adaptive network model of human learning1, 2 [My Copy] Journal of Memory and Language, Vol. 27, No. 2. (April 1988), pp. 166-195. by M. Gluck posted to wagner rescorla pavlovian_conditioning network_model least-mean-squares classification by alexhakkinen on 2009-10-30 16:46:46 as
	The practice of classification and the theory of evolution, and what the demise of Charles Darwin's tree of life hypothesis means for both of them. [My Copy] Philosophical transactions of the Royal Society of London. Series B, Biological sciences, Vol. 364, No. 1527. (12 August 2009), pp. 2221-2228. by W. Ford Doolittle posted to hierarchy evolution classification by livingthingdan on 2009-10-30 05:48:31 as
	A comparative study of different machine learning methods on microarray gene expression data [My Copy] BMC Genomics, Vol. 9, No. Suppl 1. (2008) by Mehdi Pirooznia, Jack Yang, Mary Q. Yang, Youping Deng posted to study machine learning comparative classification benchmark by dolchan on 2009-10-29 17:16:35 as along with 7 people guhjy imina jfr klo aviad_work renatomilani frohike
	The use of temporal metrics for land cover change detection at coarse spatial scales [My Copy] International Journal of Remote Sensing (2000), pp. 1415-1432. by J. S. Borak, E. F. Lambin, A. H. Strahler posted to classification by RSLCSReview on 2009-10-29 14:47:39 as
	Intelligent email: reply and attachment prediction [My Copy] In IUI '08: Proceedings of the 13th international conference on Intelligent user interfaces (2008), pp. 321-324. by Mark Dredze, Tova Brooks, Josh Carroll, Joshua Magarick, John Blitzer, Fernando Pereira posted to predication email classification attachment by dyaaalbakour on 2009-10-28 18:04:38 as along with 1 person jwong
	Randomized trees for real-time keypoint recognition [My Copy] In In CVPR, Vol. 2 (2005), pp. 775-781. by Vincent Lepetit, Pascal Lagger, Pascal Fua posted to trees real-time classification by picusc on 2009-10-28 11:04:12 as
	Traffic classification and its applications to modern networks [My Copy] Computer Networks (24 December 2008) by M. Mellia, A. Pescape, L. Salgarelli posted to traffic_classification classification _tie by JoeVinegar on 2009-10-28 09:56:56 as along with 2 people flykeysky asekerci
	Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring [My Copy] Science, Vol. 286, No. 5439. (15 October 1999), pp. 531-537. by T. R. Golub, D. K. Slonim, P. Tamayo, et al.C. Huard, M. Gaasenbeek, J. P. Mesirov, H. Coller, M. L. Loh, J. R. Downing, M. A. Caligiuri, C. D. Bloomfield, E. S. Lander posted to microarray classification by srp33 on 2009-10-27 16:29:03 as along with 19 people and 2 groups ipark-kaist kentz esyoun stharward gstiglic ctaraujo ihpark winterschlaefer hhhhssss balajis sdvillal archroad giovanni santhosh ugengma jo_davies akastrin zchen raiyar Network Analysis of Genes Regulated in Renal Diseases GeschwindLab
	Mutual information-based feature extraction on the time-frequency plane [My Copy] Signal Processing, IEEE Transactions on, Vol. 50, No. 4. (07 August 2002), pp. 779-790. by E. Grall-Maes, P. Beauseroy posted to time_frequency feature_extraction eeg classification by reyntjesr on 2009-10-27 08:56:13 as
	Decision support systems for time-varying biomedical signals: EEG signals classification [My Copy] Expert Systems with Applications, Vol. 36, No. 2. (March 2009), pp. 2275-2284. by E. Ubeyli posted to eeg classification by reyntjesr on 2009-10-26 13:27:14 as along with 1 person BrianNielsen
	Initial implementation of a comparative data analysis ontology. [My Copy] Evolutionary bioinformatics online, Vol. 5 (2009), pp. 47-66. by Francisco Prosdocimi, Brandon Chisham, Enrico Pontelli, Julie D. Thompson, Arlin Stoltzfus posted to ontology classification by operon on 2009-10-26 04:58:44 as along with 1 person Scis0000002
	Multi-dimensional classification of biomedical text: Toward automated, practical provision of high-utility text to diverse users [My Copy] Bioinformatics, Vol. 24, No. 18. (15 September 2008), pp. 2086-2093. by Hagit Shatkay, Fengxia Pan, Andrey Rzhetsky, W. John Wilbur posted to clustering classification by operon on 2009-10-26 04:54:36 as along with 5 people Effie robert85 yas mitko guhjy
	A Multidimensional Classification Model for the Interaction in Reactive Media Rooms [My Copy] Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments (2007), pp. 431-439. by Ali Nazari Shirehjini posted to clustering classification by operon on 2009-10-26 04:54:19 as
	Multidimensional analysis of complex structure: Mixtures of class and quantitative variation [My Copy] Psychometrika, Vol. 35, No. 4. (27 December 1970), pp. 475-491. by Richard Degerman posted to clustering classification by operon on 2009-10-26 04:52:13 as
	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 verification classification by gotgenes on 2009-10-26 03:47:53 as along with 3 people and 1 group neils humburg abrentnall QFRMC_ConsumerCredit
	Automatic target defect identification for TFT-LCD array process inspection using kernel FCM-based fuzzy SVDD ensemble [My Copy] Expert Systems with Applications, Vol. 36, No. 2. (March 2009), pp. 1978-1998. by Y. Liu, S. Lin, Y. Hsueh, M. Lee posted to tft_lcd_panel support_vector_domain_description feature_extraction ensemble defect_detection clustering classification by corgan on 2009-10-25 13:07:38 as along with 1 person sdvillal
	Automated visual inspection system for wood defect classification using computational intelligence techniques [My Copy] International Journal of Systems Science, Vol. 40, No. 2. (February 2009), pp. 163-172. by Gonzalo Ruz, Pablo Estevez, Pablo Ramirez posted to wood_inspection support_vector_machine localization feature_extraction defect_detection classification by corgan on 2009-10-25 12:05:48 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
	Applying wavelets transform and support vector machine for copper clad laminate defects classification [My Copy] Computers & Industrial Engineering, Vol. 56, No. 3. (April 2009), pp. 1154-1168. by Te-Sheng Li posted to wavelet_transform support_vector_machine feature_extraction defect_detection copper_clad_laminate classification by corgan on 2009-10-25 08:12:56 as
	Malware detection using adaptive data compression [My Copy] In AISec '08: Proceedings of the 1st ACM workshop on Workshop on AISec (2008), pp. 53-60. by Yan Zhou, W. Meador Inge posted to malware detection cross-entropy compression classification by mstone on 2009-10-23 22:15:59 as
	An introduction to ROC analysis [My Copy] Pattern Recogn. Lett. In ROC Analysis in Pattern Recognition, Vol. 27, No. 8. (June 2006), pp. 861-874. by Tom Fawcett posted to roc classification by singhsh on 2009-10-23 16:30:42 as along with 35 people and 6 groups TLVincent module qluo q_w_e_r_t_y makrehchi Borelli mthomure sbarthelme jjrodriguez cen4ik jmetzen MosesCheckley ldietz vavi dquest sdvillal xiaoyan2006 dwf camu schlauchi vmoa drivard nklee imrchen kmdaily gsiwo tgyork idonaldson napvasconcelos cdeane haiyeong AbnerCYH isimpson guhjy nherveg Bioinformatics Crypto VT_DLRL Randomness LIVIA BergmanLab
	Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients [My Copy] Journal of Neuroscience Methods, Vol. 148, No. 2. (30 October 2005), pp. 113-121. by I. Guler, E. Ubeyli posted to eeg classification by reyntjesr on 2009-10-23 16:06:07 as along with 2 people thorstenkranz Gyoku
	Classification of Multi-Channel EEG: The SLEX-Shrinkage Approach [My Copy] NeuroImage, Vol. 47 (July 2009), pp. S80-S80. by H. Ombao, H. Boehm, R. von Sachs, J. Sanes posted to eeg classification by reyntjesr on 2009-10-23 16:04:48 as
	A simple, fast, and accurate method of phylogenomic inference [My Copy] Genome Biology, Vol. 9, No. 10. (13 October 2008), R151. by Martin Wu, Jonathan Eisen posted to metagenomics classification by dakelley on 2009-10-22 20:51:16 as along with 12 people and 2 groups jeargle AaronDarling zwang cgaugain treangen Katje operon ellakat scryrps djkt aramata druvus microbiology_nijmegen iSEEM
	Ship identification in sequential ISAR imagery [My Copy] Machine Vision and Applications, Vol. 15, No. 3. (1 July 2004), pp. 149-155. by Atsuto Maki, Kazuhiro Fukui posted to ship isar classification by mzabidi on 2009-10-21 14:10:02 as
	Optimizing ship length estimates from ISAR images [My Copy] Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on, Vol. 1 (06 August 2002), pp. 163-168 vol.1. by F. E. McFadden, S. A. Musman posted to ship isar classification by mzabidi on 2009-10-21 14:08:48 as
	Ship Classification by Superstructure Moment Invariants [My Copy] Emerging Intelligent Computing Technology and Applications (2009), pp. 327-335. by Prashan Premaratne, Farzad Safaei posted to ship moment classification by mzabidi on 2009-10-21 13:47:26 as
	Finding high-quality content in social media [My Copy] In WSDM '08: Proceedings of the international conference on Web search and web data mining (2008), pp. 183-194. by Eugene Agichtein, Carlos Castillo, Debora Donato, Aristides Gionis, Gilad Mishne posted to yahooanswers yahoo spam socialmedia quality prediction popularity filtering classification by krisl on 2009-10-21 05:59:43 as along with 10 people and 2 groups adamsi yiah brusilovsky Yuancheng turadg nguy0101 harperf mpotamias jliegl elsantosneto Social computing GroupLens
	A Semi-Supervised Method for Predicting Transcription Factor–Gene Interactions in Escherichia coli [My Copy] PLoS Comput Biol, Vol. 4, No. 3. (28 March 2008), e1000044. by Jason Ernst, Qasim K. Beg, Krin A. Kay, Gábor Balázsi, Zoltán N. Oltvai, Ziv Bar-Joseph posted to regulatory_networks ecoli classification by roys on 2009-10-20 06:10:16 as along with 3 people nklee xili03 eskay
	Parallel distributed genetic fuzzy rule selection [My Copy] Soft Computing - A Fusion of Foundations, Methodologies and Applications, Vol. 13, No. 5. (1 March 2009), pp. 511-519. by Yusuke Nojima, Hisao Ishibuchi, Isao Kuwajima posted to genetic_algorithm fuzzy_system classification by corgan on 2009-10-19 16:12:02 as

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clustering	178
image	141
svm	134
kernel	121
bioinformatics	116
learning	112
text	108
microarray	106
breast_cancer	101
statistics	98
review	93
feature_selection	88
structure	88
protein	87
tagging	86
cancer	83
machine-learning	71
software	66
ontology	63
algorithm	56
machine	55
methodology	55
folksonomy	54
ml	54
segmentation	54
information	49
pattern_recognition	49
feature	46
selection	46
texture	46
machine_learning	45
spam	45
analysis	41
evolution	41
thesis	41
web	41
categorization	40
collaboration	40
taxonomy	40
expression	38
genetic_algorithms	38
image_classification	38
proteome	37
prediction	36
evaluation	35
network	35
bayesian	33
classifier	33
algorithms	32
breast	32
database	32
information-retrieval	32
detection	31
email	30
gene_expression	30
nlp	30
0print	29
bayes	29
genetic	29
roc	29
data-mining	28
lib_spatial	28
pattern	28
closed	27
eeg	27
evolutionary-computation	27
regression	27
defect	26
retrieval	25
social	25
therapy	25
data	24
methods	24
mining	24
music	23
recognition	23
rna	23
survey	23
annotation	22
diplomarbeit	22
geneset	22
phylogeny	22
text_mining	22
theory	22
brain	21
gene	21
integration	21
ir	21
pathway	21
proj_disocons	21
support	21
thelist	21
document	20
vector	20
collaborative	19
credit	19
evolutionary_computation	19
model	19
networks	19
project--email	19

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