Tag svm [at least 200 articles] Export

Recent papers classified by the tag svm.

	Knowledge-based analysis of microarray gene expression data by using support vector machines [My Copy] Proceedings of the National Academy of Sciences of the United States of America, Vol. 97, No. 1. (4 January 2000), pp. 262-267. by Michael P. S. Brown, William N. Grundy, David Lin, et al.Nello Cristianini, Charles W. Sugnet, Terrence S. Furey, Manuel Ares, David Haussler posted to svm pnas microarray by seb1 on 2009-11-08 00:39:10 as along with 6 people and 4 groups nickolay akshayk petrposik neveaire dps srp33 Biostatistics Computational-Genomics Bioinformatics Neuroscience
	Supervised reconstruction of biological networks with local models [My Copy] Bioinformatics, Vol. 23, No. 13. (1 July 2007), pp. i57-65. by Kevin Bleakley, Gerard Biau, Jean-Philippe Vert posted to vert svm supervised-machine-learning reconstruction machine-learning graph by seb1 on 2009-11-07 22:17:42 as along with 3 people ptrobajo anf shigepong
	SVM speaker verification system based on a low-cost FPGA [My Copy] Field Programmable Logic and Applications, 2009. FPL 2009. International Conference on (29 September 2009), pp. 582-586. by R. Ramos-Lara, M. Lopez-Garcia, E. Canto-Navarro, L. Puente-Rodriguez posted to svm fpga floating_point by mmuecke on 2009-11-06 16:27:52 as
	Prediction of hot spot residues at protein-protein interfaces by combining machine learning and energy-based methods [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (30 October 2009), 365. by Stefano Lise, Cedric Archambeau, Massimiliano Pontil, David Jones posted to svm protein-protein-interaction machine-learning by kshameer on 2009-11-06 08:43:08 as along with 4 people zwang phoenixzxl higueruelo neils
	<I>In silico</I> prediction and screening of gamma-secretase inhibitors by molecular descriptors and machine learning methods [My Copy] Journal of Computational Chemistry, Vol. 9999, No. 9999. (2009), NA. by Xue-Gang Yang, Wei Lv, Yu-Zong Chen, Ying Xue posted to svm nov09 molecular_descriptors machine_learning jcc inhibitor gamma-secretase by klexa on 2009-11-04 15:37:14 as along with 1 person iskathy
	Bounded Influence Support Vector Regression for Robust Single-Model Estimation [My Copy] Neural Networks, IEEE Transactions on, Vol. 20, No. 11. (22 September 2009), pp. 1689-1706. by F. Dufrenois, J. Colliez, D. Hamad posted to svm regression by asmith29 on 2009-11-03 11:40:36 as
	mGene: Accurate SVM-based gene finding with an application to nematode genomes [My Copy] Genome Research, Vol. 19, No. 11. (29 November 2009), pp. 2133-2143. by Gabriele Schweikert, Alexander Zien, Georg Zeller, et al.Jonas Behr, Christoph Dieterich, Cheng S. Ong, Petra Philips, Fabio De Bona, Lisa Hartmann, Anja Bohlen, Nina KrÃ¼ger, SÃ¶ren Sonnenburg, Gunnar RÃ¤tsch posted to svm machine-learning genome-analysis gene-finding by kshameer on 2009-11-03 08:10:04 as along with 2 people natstreet farhat
	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
	Support Vector Machines and Kernels for Computational Biology [My Copy] PLoS Comput Biol, Vol. 4, No. 10. (31 October 2008), e1000173. by Asa Ben-Hur, Cheng S. Ong, Sören Sonnenburg, Bernhard Schölkopf, Gunnar Rätsch posted to svm by guhjy on 2009-10-31 09:40:39 as along with 32 people and 3 groups VGreiff tomhebbron ucbcjbm thegoose Zephyrus phoenixzxl winterschlaefer kshameer svozil mmartin jfr MarcoAlvarez sobolevnrm Yanno Scis0000002 srp33 GustavoLacerda nuin rdiaz dakelley rschulz Borelli taguchi kristina bayesian chad_davis mdstobbe tny giovenko markchen druvus GeeSharpMinor Bioinformatics baker-group VisionLab
	On the state of the art in machine learning: A personal review [My Copy] Artificial Intelligence, Vol. 131, No. 1-2. (September 2001), pp. 199-222. by P. Flach posted to svm by powerlee on 2009-10-29 22:50:48 as along with 2 people iskathy scritic
	Incorporating prior knowledge in support vector machines for classification: A review [My Copy] Neurocomputing, Vol. 71, No. 7-9. (March 2008), pp. 1578-1594. by F. Lauer, G. Bloch posted to svm by powerlee on 2009-10-29 22:49:36 as along with 1 person ecome
	Software reliability forecasting by support vector machines with simulated annealing algorithms [My Copy] Journal of Systems and Software, Vol. 79, No. 6. (June 2006), pp. 747-755. by P. Pai, W. Hong posted to svm by powerlee on 2009-10-29 22:46:27 as
	Forecasting of traffic origin NO and NO2 concentrations by Support Vector Machines and neural networks using Principal Component Analysis [My Copy] Simulation Modelling Practice and Theory, Vol. 16, No. 9. (October 2008), pp. 1488-1502. by I. Juhos, L. Makra, B. Toth posted to svm by powerlee on 2009-10-29 22:45:23 as
	Downscaling of precipitation for climate change scenarios: A support vector machine approach [My Copy] Journal of Hydrology, Vol. 330, No. 3-4. (15 November 2006), pp. 621-640. by S. Tripathi, V. Srinivas, R. Nanjundiah posted to svm by powerlee on 2009-10-29 22:43:51 as
	Runoff prediction using an integrated hybrid modelling scheme [My Copy] Journal of Hydrology, Vol. 372, No. 1-4. (15 June 2009), pp. 48-60. by Renji Remesan, Muhammad A. Shamim, Dawei Han, Jimson Mathew posted to svm by powerlee on 2009-10-29 22:42:19 as
	Determination of the spread parameter in the Gaussian kernel for classification and regression [My Copy] Neurocomputing, Vol. 55, No. 3-4. (October 2003), pp. 643-663. by W. Wang posted to svm by powerlee on 2009-10-29 22:41:16 as
	Important variables in explaining real-time peak price in the independent power market of Ontario [My Copy] Utilities Policy, Vol. 13, No. 1. (March 2005), pp. 27-39. by I. Arciniegasrueda, A. Marathe posted to svm by powerlee on 2009-10-29 22:40:28 as
	Potential assessment of the ?support vector machine? method in forecasting ambient air pollutant trends [My Copy] Chemosphere, Vol. 59, No. 5. (April 2005), pp. 693-701. by W. Lu, W. Wang posted to svm by powerlee on 2009-10-29 22:34:01 as
	Forecasting of the daily meteorological pollution using wavelets and support vector machine [My Copy] Engineering Applications of Artificial Intelligence, Vol. 20, No. 6. (September 2007), pp. 745-755. by S. Osowski, K. Garanty posted to svm by powerlee on 2009-10-29 22:32:47 as
	System reliability forecasting by support vector machines with genetic algorithms [My Copy] Mathematical and Computer Modelling, Vol. 43, No. 3-4. (February 2006), pp. 262-274. by P. Pai posted to svm by powerlee on 2009-10-29 22:30:03 as
	Prediction of significant wave height using regressive support vector machines [My Copy] Ocean Engineering, Vol. 36, No. 5. (April 2009), pp. 339-347. by J. Mahjoobi, Ehsan Adeli Mosabbeb posted to svm by powerlee on 2009-10-29 22:29:01 as
	Rainfall forecasting by technological machine learning models [My Copy] Applied Mathematics and Computation, Vol. 200, No. 1. (15 June 2008), pp. 41-57. by W. Hong posted to svm by powerlee on 2009-10-29 22:26:40 as
	Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine [My Copy] Expert Systems with Applications, Vol. 36, No. 3. (April 2009), pp. 7252-7261. by Achmad Widodo, Eric Y. Kim, Jong-Duk Son, et al.Bo-Suk Yang, Andy C. C. Tan, Dong-Sik Gu, Byeong-Keun Choi, Joseph Mathew posted to svm by powerlee on 2009-10-29 22:24:30 as
	Online prediction model based on support vector machine [My Copy] Neurocomputing, Vol. 71, No. 4-6. (January 2008), pp. 550-558. by W. Wang, C. Men, W. Lu posted to svm by powerlee on 2009-10-29 22:21:59 as
	Power load forecasting using support vector machine and ant colony optimization [My Copy] Expert Systems with Applications (21 August 2009) by Dongxiao Niu, Yongli Wang, Desheng D. Wu posted to svm by powerlee on 2009-10-29 22:18:59 as along with 1 person edmund
	Support vector machine-based models for hourly reservoir inflow forecasting during typhoon-warning periods [My Copy] Journal of Hydrology, Vol. 372, No. 1-4. (15 June 2009), pp. 17-29. by Gwo-Fong Lin, Guo-Rong Chen, Pei-Yu Huang, Yang-Ching Chou posted to svm by powerlee on 2009-10-29 22:17:07 as
	A comparison of statistical learning approaches for engine torque estimation [My Copy] Control Engineering Practice, Vol. 16, No. 1. (January 2008), pp. 43-55. by A. Rakotomamonjy, R. Leriche, D. Gualandris, Z. Harchaoui posted to svm by powerlee on 2009-10-29 22:15:13 as
	On-line least squares support vector machine algorithm in gas prediction [My Copy] Mining Science and Technology (China), Vol. 19, No. 2. (March 2009), pp. 194-198. by X. Zhao posted to svm by powerlee on 2009-10-29 21:23:41 as
	Inference with the Universum [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 1009-1016. by Jason Weston, Ronan Collobert, Fabian Sinz, Léon Bottou, Vladimir Vapnik posted to svm by librain to the group LIBrain on 2009-10-26 20:00:55 as along with 2 people cmoewes thefillm
	Large Scale Transductive SVMs [My Copy] Journal of Machine Learning Research, Vol. 7 (August 2006), pp. 1687-1712. by Ronan Collobert, Fabian Sinz, Jason Weston, Léon Bottou posted to transduction svm covariate-shift by librain to the group LIBrain on 2009-10-26 13:34:34 as
	An Introduction to Support Vector Machines and Other Kernel-based Learning Methods [My Copy] (28 March 2000) by Nello Cristianini, John Shawe-Taylor posted to svm statistics kernel_method introduction book by gavin1332 on 2009-10-26 05:07:16 as along with 26 people and 6 groups drivard gkvas lbustio shrikondra vlasto now yaroslavvb sb-3000 davidr baaic sleitich ryanshaw nello MatMay grzegorz buescher76 lyongu archroad AbnerCYH brunomelo atbrew kklo mfcabrera asterix77 eacosta quianominorleo sims_phd_cohort_2005 digital_youth Computational-Genomics Pattern-Analysis AI RiSE
	Reinforcement using supervised learning for policy generalization [My Copy] In AAAI'07: Proceedings of the 22nd national conference on Artificial intelligence (2007), pp. 1882-1883. by Julien Laumonier posted to svm supervised-learning reinforcement-learning generalisation by Maderlock on 2009-10-25 21:03:23 as
	Modeling wine preferences by data mining from physicochemical properties [My Copy] Decision Support Systems (09 June 2009) by Paulo Cortez, António Cerdeira, Fernando Almeida, Telmo Matos, José Reis posted to wine thorough_parameter_selection svm regression preference model_selection model by jliegl on 2009-10-22 10:33:53 as
	TargetMiner: microRNA target prediction with systematic identification of tissue-specific negative examples [My Copy] Bioinformatics, Vol. 25, No. 20. (15 October 2009), pp. 2625-2631. by Sanghamitra Bandyopadhyay, Ramkrishna Mitra posted to web_tool svm support_vector_machine mirna_target mirna microrna_target microrna by jforment to the group Bioinformatics Core Service on 2009-10-21 12:25:03 as along with 8 people and 1 group heliopais dswan reyez morrislab djkt TRHvidsten guhjy frohike microRNA
	Leveraging One-Class SVM and Semantic Analysis to Detect Anomalous Content [My Copy] Intelligence and Security Informatics (2005), pp. 381-388. by Ozgur Yilmazel, Svetlana Symonenko, Niranjan Balasubramanian, Elizabeth D. Liddy posted to svm one-class nlp by ecome on 2009-10-21 09:02:25 as
	The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition [My Copy] (15 September 2009) by Trevor Hastie, Robert Tibshirani, Jerome Friedman posted to svm statistics overview model learning data clusteranalysis analysis by robertlischke on 2009-10-20 23:28:27 as along with 8 people derwisch saus83 Diego_Prada ilyashl ocs christofseiler matjes czeller
	Online Passive-Aggressive Algorithms [My Copy] Journal of Machine Learning Research, Vol. 7 (March 2006), pp. 551-585. by Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer posted to svm incremental by kwoodsend on 2009-10-17 23:41:24 as
	Sparse Online Learning via Truncated Gradient [My Copy] Journal of Machine Learning Research, Vol. 10 (March 2009), pp. 777-801. by John Langford, Lihong Li, Tong Zhang posted to svm incremental by kwoodsend on 2009-10-17 23:40:51 as
	Incremental support vector machine learning in the primal and applications [My Copy] Neurocomputing, Vol. 72, No. 10-12. (June 2009), pp. 2249-2258. by Zhizheng Liang, YouFu Li posted to svm incremental by kwoodsend on 2009-10-17 23:39:56 as
	Incremental Support Vector Learning: Analysis, Implementation and Applications [My Copy] Journal of Machine Learning Research, Vol. 7 (September 2006), pp. 1909-1936. by Pavel Laskov, Christian Gehl, Stefan Krüger, Klaus-Robert Müller posted to svm incremental by kwoodsend on 2009-10-17 23:35:36 as
	SVM in oracle database 10g: removing the barriers to widespread adoption of support vector machines [My Copy] In VLDB '05: Proceedings of the 31st international conference on Very large data bases (2005), pp. 1152-1163. by Boriana L. Milenova, Joseph S. Yarmus, Marcos M. Campos posted to text_mining svm support-vector-machines stroz-friedberg oracle_database data_mining_algorithms commercial_databases by dmnapolitano on 2009-10-16 19:23:22 as
	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 svm gene_network classification biomarker by frohike on 2009-10-16 13:56:13 as along with 4 people and 1 group sillitoe ptrobajo ashishanand manduca Orengo Group Journal Picks
	Identification of two-phase flow regimes based on support vector machine and electrical capacitance tomography [My Copy] Measurement Science and Technology, Vol. 20, No. 11. (2009), 114007. by H. X. Wang, L. F. Zhang posted to svm support_vector_machine multi-phase_flow flow_regime ect by fruit on 2009-10-14 06:56:20 as
	Cross-domain video concept detection using adaptive svms [My Copy] In MULTIMEDIA '07: Proceedings of the 15th international conference on Multimedia (2007), pp. 188-197. by Jun Yang, Rong Yan, Alexander G. Hauptmann posted to transfer_learning svm sigmm domain_adaptation 2007 by nliu82 on 2009-10-14 03:48:14 as
	Maximum Margin Algorithms with Boolean Kernels [My Copy] Journal of Machine Learning Research, Vol. 6 (2005), pp. 1405-1429. by Roni Khardon, Rocco A. Servedio posted to svm phd learning kernel-trick boolean-kernels by kira on 2009-10-13 11:10:43 as
	From disease association to risk assessment: an optimistic view from genome-wide association studies on type 1 diabetes. [My Copy] PLoS genetics, Vol. 5, No. 10. (9 October 2009), e1000678. by Zhi Wei, Kai Wang, Hui-Qi Q. Qu, et al.Haitao Zhang, Jonathan Bradfield, Cecilia Kim, Edward Frackleton, Cuiping Hou, Joseph T. Glessner, Rosetta Chiavacci, Charles Stanley, Dimitri Monos, Struan F. Grant, Constantin Polychronakos, Hakon Hakonarson posted to svm risk individual gwas classification by ptrobajo on 2009-10-11 11:35:01 as along with 2 people rdiaz lp2
	A study of AdaBoost with SVM based weak learners [My Copy] Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on In Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on, Vol. 1 (2005), pp. 196-201 vol. 1. by Xuchun Li, Lei Wang, E. Sung posted to svm adaboost by mzabidi on 2009-10-10 06:20:44 as along with 1 person drivard
	Structure-Based Predictive Models for Allosteric Hot Spots [My Copy] PLoS Comput Biol, Vol. 5, No. 10. (9 October 2009), e1000531. by Omar N. A. Demerdash, Michael D. Daily, Julie C. Mitchell posted to svm bioinf_methods allostery by barry to the group McCammon on 2009-10-09 18:28:47 as along with 2 people nickolay klexa
	A kernel-based integration of genome-wide data for clinical decision support. [My Copy] Genome medicine, Vol. 1, No. 4. (3 April 2009) by Anneleen Daemen, Olivier Gevaert, Fabian Ojeda, et al.Annelies Debucquoy, Johan Ak A. Suykens, Christine Sempoux, Jean-Pascal P. Machiels, Karin Haustermans, Bart De Moor posted to svm machine_learning integration_framework by installe on 2009-10-09 15:07:04 as along with 4 people nicklynch daed frohike inesdesantiago
	fMRI pattern classification using neuroanatomically constrained boosting [My Copy] NeuroImage, Vol. 31, No. 3. (01 July 2006), pp. 1129-1141. by Manel Martínez-Ramón, Vladimir Koltchinskii, Gregory L. Heileman, Stefan Posse posted to svm rt-rep pattern-classification fmri adaboost by librain to the group LIBrain on 2009-10-06 15:09:23 as along with 1 person ITra

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