Tag svms [36 articles] Export

Recent papers classified by the tag svms.

	Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines [My Copy] Journal of Machine Learning Research, Vol. 9 (July 2008), pp. 1369-1398. by Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin posted to svms by liefengbo on 2009-09-03 00:33:34 as
	Kernel Logistic Regression and the Import Vector Machine [My Copy] In NIPS (2001), pp. 1081-1088. by Ji Zhu, Trevor Hastie edited by Thomas G. Dietterich, Suzanna Becker, Zoubin Ghahramani, Thomas G. Dietterich, Suzanna Becker, Zoubin Ghahramani posted to svms by liefengbo on 2009-09-02 20:46:19 as
	Iterative Kernel Principal Component Analysis for Image Modeling [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 27, No. 9. (2005), pp. 1351-1366. by Kwang I. Kim, Matthias O. Franz, Bernhard Schölkopf posted to svms by liefengbo on 2009-06-05 01:52:59 as
	Reducing multiclass cancer classification to binary by output coding and SVM [My Copy] Computational Biology and Chemistry, Vol. 30, No. 1. (February 2006), pp. 63-71. by L. Shen, E. Tan posted to bit-strings cancers classifications kernel-methods multiclass svms by Scis0000002 on 2009-05-07 16:11:37 as
	Learning CRFs Using Graph Cuts [My Copy] In ECCV (2), Vol. 5303 (2008), pp. 582-595. by Martin Szummer, Pushmeet Kohli, Derek Hoiem edited by David A. Forsyth, Philip H. S. Torr, Andrew Zisserman, David A. Forsyth, Philip H. S. Torr, Andrew Zisserman posted to svms by liefengbo on 2009-03-09 07:28:58 as
	Support vector regression machines [My Copy] In Advances in Neural Information Processing Systems 9, Vol. 9 (1997), pp. 155-161. by Harris Drucker, Chris, Burges* L. Kaufman, Alex Smola, Vladimir Vapnik posted to regression svms by wryun on 2008-12-03 00:03:01 as
	Learning to Localize Objects with Structured Output Regression [My Copy] In ECCV (1), Vol. 5302 (2008), pp. 2-15. by Matthew B. Blaschko, Christoph H. Lampert edited by David A. Forsyth, Philip H. S. Torr, Andrew Zisserman, David A. Forsyth, Philip H. S. Torr, Andrew Zisserman posted to svms by liefengbo on 2008-11-10 22:47:06 as along with 3 people varung doubleshow weiweiguo
	A tutorial on support vector regression [My Copy] Statistics and Computing, Vol. 14, No. 3. (1 August 2004), pp. 199-222. by Alex J. Smola, Bernhard Schölkopf posted to svms by liefengbo on 2008-11-08 22:00:41 as along with 7 people Cavadini xuzhe83 vbaudoui timg dcastro jccaicedo caramanis
	Multiple kernel learning, conic duality, and the SMO algorithm [My Copy] In ICML, Vol. 69 (2004) by Francis R. Bach, Gert R. G. Lanckriet, Michael I. Jordan edited by Carla E. Brodley, Carla E. Brodley posted to svms by liefengbo on 2008-10-20 03:11:38 as along with 1 person inayatkh
	More efficiency in multiple kernel learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 775-782. by Alain Rakotomamonjy, Francis Bach, Stéphane Canu, Yves Grandvalet posted to svms by liefengbo on 2008-10-20 02:58:25 as along with 1 person jccaicedo
	Adaptive Scaling for Feature Selection in SVMs [My Copy] In NIPS (2002), pp. 553-560. by Yves Grandvalet, Stéphane Canu edited by Suzanna Becker, Sebastian Thrun, Klaus Obermayer, Suzanna Becker, Sebastian Thrun, Klaus Obermayer posted to svms by liefengbo on 2008-10-20 02:46:01 as
	Hidden Markov Support Vector Machines [My Copy] In ICML (2003), pp. 3-10. by Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofmann edited by Tom Fawcett, Nina Mishra, Tom Fawcett, Nina Mishra posted to svms by liefengbo on 2008-10-18 04:33:37 as along with 1 person kabus
	Training structural svms with kernels using sampled cuts [My Copy] In KDD '08: Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (2008), pp. 794-802. by Chun, Thorsten Joachims posted to svms by liefengbo on 2008-10-18 04:13:45 as along with 1 person eddymier
	Pegasos: Primal Estimated sub-GrAdient SOlver for SVM [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 807-814. by Shai S. Shwartz, Yoram Singer, Nathan Srebro posted to svms by liefengbo on 2008-10-18 03:37:41 as along with 7 people kazennikov kabus nliu82 librain pprett eddymier daniel51
	Ridge Regression Learning Algorithm in Dual Variables [My Copy] In ICML (1998), pp. 515-521. by Craig Saunders, Alexander Gammerman, Volodya Vovk edited by Jude W. Shavlik, Jude W. Shavlik posted to svms by liefengbo on 2008-10-18 00:31:34 as
	Training a Support Vector Machine in the Primal [My Copy] Neural Comp., Vol. 19, No. 5. (1 May 2007), pp. 1155-1178. by Olivier Chapelle posted to svms by liefengbo on 2008-10-18 00:28:14 as
	Working Set Selection Using Second Order Information for Training Support Vector Machines [My Copy] Journal of Machine Learning Research, Vol. 6 (December 2005), pp. 1889-1918. by Rong-En Fan, Pai-Hsuen Chen, Chih-Jen Lin posted to svms by liefengbo on 2008-10-18 00:19:08 as along with 1 person santhosh
	On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines [My Copy] Journal of Machine Learning Research, Vol. 2 (2001), pp. 265-292. by Koby Crammer, Yoram Singer posted to svms by liefengbo on 2008-10-17 23:32:00 as
	On Learning Vector-Valued Functions [My Copy] Neural Computation, Vol. 17, No. 1. (2005), pp. 177-204. by Charles A. Micchelli, Massimiliano Pontil posted to svms by liefengbo on 2008-10-17 23:29:29 as
	Large Margin Methods for Structured and Interdependent Output Variables [My Copy] Journal of Machine Learning Research, Vol. 6 (2005), pp. 1453-1484. by Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun posted to svms by liefengbo on 2008-10-17 23:28:46 as along with 1 person pprett
	Kernel Dependency Estimation [My Copy] In NIPS (2002), pp. 873-880. by Jason Weston, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf, Vladimir Vapnik edited by Suzanna Becker, Sebastian Thrun, Klaus Obermayer, Suzanna Becker, Sebastian Thrun, Klaus Obermayer posted to svms by liefengbo on 2008-10-17 23:28:08 as
	Improvements to Platt's SMO Algorithm for SVM Classifier Design [My Copy] Neural Computation, Vol. 13, No. 3. (2001), pp. 637-649. by Sathiya S. Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy posted to svms by liefengbo on 2008-10-17 23:20:48 as
	Max-Margin Markov Networks [My Copy] In NIPS (2003) by Benjamin Taskar, Carlos Guestrin, Daphne Koller edited by Sebastian Thrun, Lawrence K. Saul, Bernhard Schölkopf, Sebastian Thrun, Lawrence K. Saul, Bernhard Schölkopf posted to svms by liefengbo on 2008-10-17 23:13:02 as
	Improvements to the SMO algorithm for SVM regression [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 11, No. 5. (2000), pp. 1188-1193. by S. K. Shevade, S. S. Keerthi, C. Bhattacharyya, K. R. K. Murthy posted to svms by liefengbo on 2008-10-17 23:03:03 as
	$My PDF frie\ss_98_kerneladatron.pdf$ The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines [My Copy] In ICML (1998), pp. 188-196. by Thilo T. Frie\ss, Nello Cristianini, Colin Campbell edited by Jude W. Shavlik, Jude W. Shavlik posted to svms by liefengbo on 2008-10-17 22:58:18 as
	Protein names precisely peeled off free text. [My Copy] Bioinformatics, Vol. 20 Suppl 1 (4 August 2004) by S. Mika, B. Rost posted to bionlp entity named ner protein recognition svms by vlachmore on 2008-08-04 16:32:09 as along with 2 people and 1 group eesruiz t11 ImagCom - Biomedical Text Computing
	Diffusion Kernels on Statistical Manifolds [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 129-163. by John Lafferty, Guy Lebanon posted to heat kernel machines support svms vector by vlachmore on 2008-07-01 17:53:57 as along with 1 person daniel51
	Use of support vector machines in extended named entity recognition [My Copy] (2002) by K. Takeuchi, N. Collier posted to bionlp entity machines named recognition shared support svms task vector by vlachmore on 2007-12-17 18:08:15 as
	Transductive Inference for Text Classification using Support Vector Machines [My Copy] In Proceedings of ICML-99, 16th International Conference on Machine Learning (1999), pp. 200-209. by Thorsten Joachims edited by Ivan Bratko, Saso Dzeroski posted to categorization classification machines support svms text transductive vector by vlachmore on 2007-11-07 15:16:32 as along with 8 people bioinfo mthomure scis0000001 krikamol kaineci ehohman kozaki adamsi
	Using bag-of-concepts to improve the performance of support vector machines in text categorization [My Copy] In COLING '04: Proceedings of the 20th international conference on Computational Linguistics (2004) by Magnus Sahlgren, Rickard Cöster posted to bag-of-concepts categorization machines support svms text vector by vlachmore on 2007-11-07 14:51:56 as along with 2 people marlar mfcabrera
	Inductive learning algorithms and representations for text categorization [My Copy] In CIKM '98: Proceedings of the seventh international conference on Information and knowledge management (1998), pp. 148-155. by Susan Dumais, John Platt, David Heckerman, Mehran Sahami posted to categorization comparison knn svms text by vlachmore on 2007-11-07 14:44:09 as along with 6 people sdvillal hyifen mthomure ianturton mfcabrera aaronhalfaker
	Making Tree Kernels Practical for Natural Language Learning [My Copy] In Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (2006) by Alessandro Moschitti posted to argument kernels machines predicate structure support svms tree vector by vlachmore on 2007-10-05 11:40:17 as along with 2 people scis0000001 julianpan
	One-class svms for document classification [My Copy] J. Mach. Learn. Res., Vol. 2 (2002), pp. 139-154. by Larry M. Manevitz, Malik Yousef posted to one-class svms by iris_2001 on 2007-08-20 15:23:26 as along with 5 people adamsi bundschu sdvillal ak1992 mfcabrera
	Learning the Kernel Matrix with Semidefinite Programming [My Copy] J. Mach. Learn. Res., Vol. 5 (2004), pp. 27-72. by Gert R. G. Lanckriet, Nello Cristianini, Peter Bartlett, Laurent E. Ghaoui, Michael I. Jordan posted to svms by tmmurali on 2005-07-18 16:02:45 as along with 6 people awg2 ajbattle Redrobot teesid jung_dalglish jccaicedo
	Diffusion Kernels on Graphs and Other Discrete Input Spaces [My Copy] In ICML '02: Proceedings of the Nineteenth International Conference on Machine Learning (2002), pp. 315-322. by Risi I. Kondor, John D. Lafferty posted to svms by tmmurali on 2005-07-18 15:25:57 as along with 1 person carlk
	The nature of statistical learning theory [My Copy] (1995) by Vladimir N. Vapnik posted to svms by tmmurali on 2005-07-13 13:49:01 as along with 7 people NicholasErho pablocarb BerndLesser christiand ldietz matteodefelice vlachmore

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machines	5
support	5
vector	5
categorization	3
text	3
bionlp	2
entity	2
named	2
recognition	2
argument	1
bag-of-concepts	1
bit-strings	1
cancers	1
classification	1
classifications	1
comparison	1
heat	1
kernel	1
kernel-methods	1
kernels	1
knn	1
multiclass	1
ner	1
one-class	1
predicate	1
protein	1
regression	1
shared	1
structure	1
task	1
transductive	1
tree	1

Tag svms [36 articles] Export

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