Tag kernel-machines [67 articles] Export

Recent papers classified by the tag kernel-machines.

	Discriminative Methods for Multi-labeled Classification [My Copy] Advances in Knowledge Discovery and Data Mining (2004), pp. 22-30. by Shantanu Godbole, Sunita Sarawagi posted to kernel-machines multilabel multilabel-adaptation reductions by sdvillal on 2009-06-15 13:23:23 as along with 1 person and 1 group egibaja Multilabel Classification
	Support Vector Machines (Information Science and Statistics) [My Copy] (12 August 2008) by Ingo Steinwart, Andreas Christmann posted to classification kernel-machines ml-foundations regularization by sdvillal on 2009-05-21 18:45:18 as
	Dimension Reduction in Text Classification with Support Vector Machines [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 37-53. by Hyunsoo Kim, Peg Howland, Haesun Park posted to dimension-reduction kernel-machines text-classification by sdvillal on 2009-05-12 22:56:46 as along with 2 people k12u pflynn
	High-dimensional Data Analysis: From Optimal Metrics to Feature Selection [My Copy] (06 May 2008) by Damien François posted to concentration-of-measure high-dimensionality kernel-machines local-learning locality nearest-neighbors overfitting by sdvillal on 2009-05-11 12:49:48 as
	Exploring Potential of Leave-One-Out Estimator for Calibration of SVM in Text Mining [My Copy] Advances in Knowledge Discovery and Data Mining (2004), pp. 361-372. by Adam Kowalczyk, Bhavani Raskutti, Herman Ferrá posted to calibration imbalanced kernel-machines multiclass text-classification by sdvillal on 2009-04-26 12:45:07 as
	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 kernel-machines text-classification by sdvillal on 2009-04-19 23:23:24 as along with 6 people hyifen mthomure ianturton mfcabrera vlachmore aaronhalfaker
	On the Kernel Widths in Radial-Basis Function Networks [My Copy] Neural Processing Letters, Vol. 18, No. 2. (1 October 2003), pp. 139-154. by Nabil Benoudjit, Michel Verleysen posted to kernel-machines model-selection by sdvillal on 2009-04-10 21:54:40 as
	On Efficient Large Margin Semisupervised Learning: Method and Theory [My Copy] Journal of Machine Learning Research, Vol. 10 (March 2009), pp. 719-742. by Junhui Wang, Xiaotong Shen, Wei Pan posted to classification kernel-machines semi-supervised by sdvillal on 2009-04-09 19:34:06 as
	Decompositional Rule Extraction from Support Vector Machines by Active Learning [My Copy] Knowledge and Data Engineering, IEEE Transactions on In Knowledge and Data Engineering, IEEE Transactions on, Vol. 21, No. 2. (2009), pp. 178-191. by David Martens, Bart Baesens, Tony Van Gestel posted to active-learning artificial-negatives interpretability kernel-machines model-analysis by sdvillal on 2009-03-03 18:25:25 as along with 3 people and 1 group Mohan-S jjrodriguez QFRMC QFRMC_ConsumerCredit
	The Entire Regularization Path for the Support Vector Machine [My Copy] Journal of Machine Learning Research, Vol. 5 (October 2004), pp. 1391-1415. by Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu posted to kernel-machines model-selection scalability by sdvillal on 2009-02-04 13:27:41 as along with 1 person Scis0000002
	Boosting Support Vector Machines for Imbalanced Data Sets [My Copy] Foundations of Intelligent Systems In Foundations of Intelligent Systems, Vol. 4994 (2008), pp. 38-47. by Benjamin Wang, Nathalie Japkowicz edited by Aijun An, Stan Matwin, Zbigniew W. Raś, Dominik Ślęzak posted to boosting imbalanced kernel-machines by sdvillal on 2009-01-20 21:15:11 as along with 2 people nico_trompiste AbnerCYH
	Incremental Support Vector Learning: Analysis, Implementation and Applications [My Copy] J. Mach. Learn. Res., Vol. 7 (2006), pp. 1909-1936. by Pavel Laskov, Christian Gehl, Stefan Krüger, Klaus R. Müller posted to active-learning kernel-machines kernel-methods large-scale-learning online-learning by NicolaSegata on 2009-01-14 12:53:32 as
	Maximum-Gain Working Set Selection for SVMs [My Copy] J. Mach. Learn. Res., Vol. 7 (2006), pp. 1437-1466. by Tobias Glasmachers, Christian Igel posted to kernel-machines kernel-methods large-scale-learning by NicolaSegata on 2009-01-14 12:51:40 as
	Fast Kernel Classifiers with Online and Active Learning [My Copy] Journal of Machine Learning Research, Vol. 6 (September 2005), pp. 1579-1619. by Antoine Bordes, Seyda Ertekin, Jason Weston, Léon Bottou posted to active-learning kernel-machines kernel-methods large-scale-learning online-learning by NicolaSegata on 2009-01-14 10:47:23 as
	Core Vector Machines: Fast SVM Training on Very Large Data Sets [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 363-392. by Ivor W. Tsang, James T. Kwok, Pak-Ming Cheung posted to kernel-machines kernel-methods large-scale-learning by NicolaSegata on 2009-01-14 08:30:51 as along with 2 people iggykay sdvillal
	Selecting valuable training samples for SVMs via data structure analysis [My Copy] Neurocomputing, Vol. 71, No. 13-15. (August 2008), pp. 2772-2781. by D. Wang, L. Shi posted to clustering kernel-machines scalability by sdvillal on 2009-01-02 11:25:31 as
	Structured large margin learning [My Copy] Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on In Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on, Vol. 7 (2005), pp. 4242-4248 Vol. 7. by De-Feng Wang, D. S. Yeung, W. W. Y. Ng, E. G. C. Tsang, Xi-Zhao Wang posted to clustering kernel-machines locality by sdvillal on 2009-01-02 11:25:05 as
	Structured large margin machines: sensitive to data distributions [My Copy] Machine Learning, Vol. 68, No. 2. (2007), pp. 171-200. by Daniel Yeung, Defeng Wang, Wing Ng, Eric Tsang, Xizhao Wang posted to clustering kernel-machines locality occ-preprocessing scalability by sdvillal on 2009-01-02 11:24:10 as along with 3 people SMSSiemag beete alexn
	Weighted Mahalanobis Distance Kernels for Support Vector Machines [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 18, No. 5. (2007), pp. 1453-1462. by Defeng Wang, D. S. Yeung, E. C. Tsang posted to clustering distance-metrics kernel-machines locality occ-preprocessing by sdvillal on 2009-01-02 10:59:26 as
	Sample Reduction for SVMs via Data Structure Analysis [My Copy] System of Systems Engineering, 2007. SoSE '07. IEEE International Conference on In System of Systems Engineering, 2007. SoSE '07. IEEE International Conference on (2007), pp. 1-6. by Defeng Wang, D. S. Yeung, C. C. T. Eric posted to kernel-machines scalability by sdvillal on 2009-01-02 10:54:17 as
	Nested support vector machines [My Copy] Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on In Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on (2008), pp. 1985-1988. by Gyemin Lee, C. Scott posted to calibration cost-sensitive kernel-machines occ-support-vector by sdvillal on 2008-12-28 09:08:46 as
	On Relevant Dimensions in Kernel Feature Spaces [My Copy] Journal of Machine Learning Research, Vol. 9 (August 2008), pp. 1875-1908. by Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller posted to dimension-reduction intrinsic-dimension-estimation kernel-machines pca by sdvillal on 2008-12-05 09:55:54 as along with 1 person and 1 group mdreid Statistical Machine Learning
	Support Vector Machine Active Learning with Applications to Text Classification [My Copy] Journal of Machine Learning Research, Vol. 2 (November 2001), pp. 45-66. by Simon Tong, Daphne Koller posted to active-learning kernel-machines text-classification by sdvillal on 2008-08-04 20:27:18 as along with 3 people Mohan-S ise asterix77
	Less is More: Active Learning with Support Vector Machines [My Copy] In ICML '00: Proceedings of the Seventeenth International Conference on Machine Learning (2000), pp. 839-846. by Greg Schohn, David Cohn posted to active-learning kernel-machines by sdvillal on 2008-08-04 20:23:15 as along with 1 person kgajos
	Online Choice of Active Learning Algorithms [My Copy] Journal of Machine Learning Research, Vol. 5 (March 2004), pp. 255-291. by Yoram Baram, Ran E. Yaniv, Kobi Luz posted to active-learning bandits ensembles evaluation-methodology kernel-machines online-learning by sdvillal on 2008-08-01 10:35:40 as along with 2 people Mohan-S Scis0000002
	The Curse of Highly Variable Functions for Local Kernel Machines [My Copy] In NIPS (2005) by Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux posted to dimension-reduction kernel-machines locality by sdvillal on 2008-07-15 16:09:15 as
	The Pyramid Match Kernel: Efficient Learning with Sets of Features [My Copy] Journal of Machine Learning Research, Vol. 8 (April 2007), pp. 725-760. by Kristen Grauman, Trevor Darrell posted to image-processing kernel-machines scalability by sdvillal on 2008-05-21 12:50:35 as along with 4 people gfacciol liefengbo pwais vinaypn
	Learning over Sets using Kernel Principal Angles [My Copy] Journal of Machine Learning Research, Vol. 4 (October 2003), pp. 913-931. by Lior Wolf, Amnon Shashua posted to cbir dimension-reduction image-processing kernel-machines multi-instance multimedia-ir sets-of-features by sdvillal on 2008-04-23 11:15:26 as
	Weighted support vector machine for data classification [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. 2 (2005), pp. 859-864 vol. 2. by Xulei Yang, Qing Song, A. Cao posted to imbalanced kernel-machines occ-support-vector occ-with-outliers by sdvillal on 2008-03-25 12:04:44 as
	Support Vector Machinery for Infinite Ensemble Learning [My Copy] Journal of Machine Learning Research, Vol. 9 (February 2007), pp. 285-312. by Hsuan-Tien Lin, Ling Li posted to ensemble-diversity ensembles kernel-machines by sdvillal on 2008-03-02 16:55:46 as along with 1 person jjrodriguez
	Semigroup Kernels on Measures [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 1169-1198. by Marco Cuturi, Kenji Fukumizu, Jean-Philippe Vert posted to kernel-machines by Scis0000002 on 2007-12-18 22:42:32 as along with 2 people memming scis0000001
	Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning) [My Copy] (15 December 2001) by Bernhard Schölkopf, Alexander J. Smola posted to data-mining-books kernel-machines by sdvillal on 2007-12-08 16:46:22 as along with 16 people and 2 groups MajorTomm lbustio vertikalist shrikondra inayatkh sbarthelme thefillm AbnerCYH raiyar wenhan librain jung_dalglish robotact singhsh ecome quianominorleo BTS-PT-AS-CS Medical Image Analysis and Visualization @ OSU
	The Entire Regularization Path for the Support Vector Domain Description [My Copy] Medical Image Computing and Computer-Assisted Intervention (2006), pp. 241-248. by Karl Sjöstrand, Rasmus Larsen posted to kernel-machines model-selection occ-parameter-fitting occ-support-vector scalability by sdvillal on 2007-12-04 14:45:32 as
	Kernel Methods for Pattern Analysis [My Copy] (28 June 2004) by John Shawe-Taylor, Nello Cristianini posted to kernel-machines by kozaki on 2007-12-02 13:38:45 as along with 18 people and 3 groups kira gavin1332 rramirezp vlasto thefillm sb-3000 davidr nello MatMay bayesian lyongu klaudius filippone sdvillal ecome librain jung_dalglish quianominorleo Computational-Genomics Pattern-Analysis LTN
	An introduction to kernel-based learning algorithms [My Copy] Neural Networks, IEEE Transactions on, Vol. 12, No. 2. (07 August 2002), pp. 181-201. by K. R. Muller, S. Mika, G. Ratsch, K. Tsuda, B. Scholkopf posted to kernel-machines by kozaki on 2007-12-02 13:36:13 as along with 18 people e120265 esyoun awg2 ckai1 Fujisaki babakap gkvas eddymier vi_z grzegorz bayesian pliz mthomure zoop atbrew teesid jccaicedo i-stevenson
	Statistical Learning and Kernel Methods [My Copy] (2000) by Bernhard Schölkopf posted to kernel-machines by kozaki on 2007-12-02 13:35:22 as along with 3 people sdvillal atbrew j0nes
	Kernel methods: a survey of current techniques [My Copy] pp. 63-84. by C. Campbell posted to kernel-machines occ-support-vector by sdvillal on 2007-11-20 11:39:26 as along with 1 person Mohan-S
	Simpler core vector machines with enclosing balls [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 911-918. by Ivor W. Tsang, Andras Kocsor, James T. Kwok posted to kernel-machines occ-support-vector scalability by sdvillal on 2007-11-20 11:36:04 as
	A study on reduced support vector machines [My Copy] (2003) by K. Lin, C. Lin posted to kernel-machines by sdvillal on 2007-10-04 15:15:48 as along with 1 person PeterRabbit
	Rational Kernels: Theory and Algorithms [My Copy] J. Mach. Learn. Res., Vol. 5 (2004), pp. 1035-1062. by Corinna Cortes, Patrick Haffner, Mehryar Mohri posted to kernel-machines time-series by sdvillal on 2007-06-04 13:41:53 as
	On a Connection between Kernel PCA and Metric Multidimensional Scaling [My Copy] Mach. Learn., Vol. 46, No. 1-3. (1 January 2002), pp. 11-19. by Christopher K. I. Williams posted to dimension-reduction kernel-machines locality by sdvillal on 2007-04-04 17:26:07 as along with 2 people ihaque rramirezp
	Support-Vector Networks [My Copy] Mach. Learn., Vol. 20, No. 3. (1995), pp. 273-297. by Corinna Cortes, Vladimir Vapnik posted to boosting ensembles kernel-machines multiclass by sdvillal on 2007-03-31 19:47:59 as along with 2 people keerthi MarcoAlvarez
	Infinite Ensemble Learning with Support Vector Machines [My Copy] : Machine Learning: ECML 2005 In Machine Learning: ECML 2005 (2005), pp. 242-254. by Hsuan-Tien Lin, Ling Li posted to ensembles kernel-machines by sdvillal on 2007-03-24 16:13:27 as
	Incremental training of support vector machines using hyperspheres [My Copy] Pattern Recognition Letters, Vol. 27, No. 13. (1 October 2006), pp. 1495-1507. by Shinya Katagiri, Shigeo Abe posted to incremental-learning kernel-machines occ-applications occ-support-vector by sdvillal on 2007-03-13 00:14:09 as along with 1 person iggykay
	Learning from imbalanced data in surveillance of nosocomial infection [My Copy] Artificial Intelligence in Medicine In Intelligent Data Analysis in Medicine, Vol. 37, No. 1. (May 2006), pp. 7-18. by Gilles Cohen, Melanie Hilario, Hugo Sax, Stephane Hugonnet, Antoine Geissbuhler posted to imbalanced kernel-machines occ-applications by sdvillal on 2007-03-12 15:09:31 as
	Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data. [My Copy] BMC Bioinformatics, Vol. 7 (2006), 197. by X. Zhang, X. Lu, Q. Shi, et al.X. Q. Xu, H. C. Leung, L. N. Harris, J. D. Iglehart, A. Miron, J. S. Liu, W. H. Wong posted to bioinformatics dimension-reduction embedded-fs feature-selection kernel-machines by sdvillal on 2007-03-10 17:52:12 as along with 5 people and 1 group xuzhe83 aviad_work chad_davis bundschu jianrong generif_paper
	Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 24, No. 9. (September 2002), pp. 1184-1199. by Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Klaus-Robert Müller posted to boosting kernel-machines occ-applications occ-support-vector by sdvillal on 2007-03-09 16:52:45 as
	Robust Face Recognition by Multiscale Kernel Associative Memory Models Based on Hierarchical Spatial-Domain Gabor Transforms [My Copy] In FGR '06: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition (FGR06) (2006), pp. 102-107. by Bai-Ling Zhang, Clement Leung posted to kernel-machines occ-applications occ-others by sdvillal on 2007-03-09 10:45:04 as
	SVM Feature Selection for Classification of SPECT Images of Alzheimer's Disease Using Spatial Information [My Copy] In ICDM '05: Proceedings of the Fifth IEEE International Conference on Data Mining (2005), pp. 410-417. by Jonathan Stoeckel, Glenn Fung posted to dimension-reduction feature-selection image-processing kernel-machines medical-imaging by sdvillal on 2007-03-08 20:11:28 as
	Incorporating Spatial Contiguity into the Design of a Support Vector Machine Classifier [My Copy] IEEE International Conference on Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on In IEEE International Conference on Geoscience and Remote Sensing Symposium (2006), pp. 364-367. by M. Dundar, J. Theiler, S. Perkins posted to image-processing kernel-machines by sdvillal on 2007-03-08 19:35:01 as

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dimension-reduction	16
occ-support-vector	9
scalability	8
active-learning	6
locality	6
clustering	5
ensembles	5
occ-applications	5
spectral	5
classification	4
image-processing	4
imbalanced	4
kernel-methods	4
large-scale-learning	4
text-classification	4
boosting	3
data-mining-books	3
feature-selection	3
kernel	3
ml-foundations	3
model-selection	3
online-learning	3
bioinformatics	2
calibration	2
data-mining-general	2
multiclass	2
occ-preprocessing	2
pca	2
semi-supervised	2
single-sided	2
artificial-negatives	1
bandits	1
cbir	1
concentration-of-measure	1
cost-sensitive	1
distance-metrics	1
embedded-fs	1
ensemble-diversity	1
error-estimation	1
evaluation-methodology	1
high-dimensionality	1
incremental-learning	1
interpretability	1
intrinsic-dimension-estimation	1
introduction	1
local-learning	1
machine-learning	1
medical-imaging	1
model-analysis	1
multi-instance	1
multilabel	1
multilabel-adaptation	1
multimedia-ir	1
nearest-neighbors	1
occ-others	1
occ-parameter-fitting	1
occ-with-outliers	1
overfitting	1
reductions	1
regularization	1
sets-of-features	1
spam	1
time-series	1

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