sdvillal's kernel-machines [62 articles] Export

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	Prototype classification: Insights from machine learning [My Copy] Neural computation, Vol. 21, No. 1. (2009), pp. 272-300. by A. B. A. Graf, O. Bousquet, G. Ratsch, B. Scholkopf posted to kernel-machines dimension-reduction classification by sdvillal on 2009-09-16 13:45:55 as
	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 (2008), pp. 38-47. by Benjamin Wang, Nathalie Japkowicz posted to boosting imbalanced kernel-machines by sdvillal on 2009-01-20 21:15:11 as along with 1 person AbnerCYH
	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
	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
	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 occ-support-vector scalability by sdvillal on 2007-11-20 11:45:25 as along with 2 people iggykay NicolaSegata
	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
	Kernels and Regularization on Graphs. [My Copy] In COLT (2003), pp. 144-158. by Alex J. Smola, Risi I. Kondor posted to kernel-machines learning-on-graphs by sdvillal on 2007-05-02 20:05:00 as
	On a Connection between Kernel PCA and Metric Multidimensional Scaling [My Copy] Machine Learning, Vol. 46, No. 1. (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 1 person 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
	IBM Research TRECVID-2005 Video Retrieval System [My Copy] In TREC Video Retrieval Evaluation Proceedings (2006) by Arnon Amir, Janne Argillander, Murray Campbell, et al.Alexander Haubold, Giridharan Iyengar, Shahram Ebadollahi, Feng Kang, Milind R. Naphade, Apostol Natsev, John R. Smith, Jelena Tei, Timo Volkmer, , , , s c, posted to image-processing kernel-machines multimedia-ir by sdvillal on 2007-03-11 16:30:53 as along with 2 people and 1 group thsant Mohan-S video_retrieval
	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
	Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing [My Copy] Data Mining and Knowledge Discovery, Vol. 11, No. 3. (November 2005), pp. 295-321. by Hwanjo Yu, Jiong Yang, Jiawei Han, Xiaolei Li posted to clustering kernel-machines by sdvillal on 2007-03-01 09:57:09 as along with 2 people cmoewes egallop
	Statistical Learning Theory [My Copy] (16 September 1998) by Vladimir N. Vapnik posted to data-mining-books data-mining-general kernel-machines ml-foundations by sdvillal on 2007-02-28 15:40:49 as along with 23 people and 3 groups tlow montse_gg esyoun idlebrain lbustio iggykay fjanoos shrikondra brian thefillm imrchen yaroslavvb gyuli grzegorz archroad paolo AbnerCYH abrentnall bundschu johnkork navil shimazaki jaonary Bioinformatics QFRMC_ConsumerCredit generif_paper
	The Nature of Statistical Learning Theory (Information Science and Statistics) [My Copy] (19 November 1999) by Vladimir N. Vapnik posted to data-mining-books data-mining-general kernel-machines ml-foundations by sdvillal on 2007-02-28 15:37:53 as along with 18 people pjcite lbustio bayesian gstiglic brian thefillm yaroslavvb creswick mthomure atbrew girschick nmdang navil teesid jung_dalglish ecome jaonary akastrin
	Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods [My Copy] J. Mach. Learn. Res., Vol. 5 (2004), pp. 725-775. by Giorgio Valentini, Thomas G. Dietterich posted to ensembles error-estimation kernel-machines by sdvillal on 2006-11-15 17:40:06 as

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occ-applications	258
dimension-reduction	249
occ-others	133
feature-selection	108
occ-support-vector	105
occ-statistical	72
spectral	63
kernel-machines	62
ensembles	59
distance-metrics	54
acii-2007	53
occ-neural-networks	50
locality	49
emotion-recognition	48
time-series	47
semi-supervised	42
occ-to-supervised	36
error-estimation	35
simplicity	29
ml-foundations	28
clustering	27
text-classification	26
ensemble-diversity	25
active-learning	22
multimedia-ir	21
bioinformatics	20
intrinsic-dimension-estimation	19
overfitting	19
classification	19
boosting	19
occ-survey	18
ml-philosophy	17
artificial-negatives	17
scalability	17
data-mining-books	16
20070622	16
multiclass	16
occ-high-dimensional	16
reductions	16
free-lunch	16
image-processing	15
calibration	15
algorithmics	14
multilabel	14
occ-parameter-fitting	13
occ-nearest-neighbor	13
occ-dimension-reduction	13
occ-comparison	13
high-dimensionality	13
autoencoders	12
imbalanced	12
datasets	11
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classic-refs	11
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ica	10
evaluation-methodology	10
pca	10
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pca-computation	6
roc	6
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complexity	4
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lazy-learning	2
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speech	1
supervised	1
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fda	1
hmm	1
metric-learning	1
occ-reconstruction	1
classification-performance-metrics	1
algorithmic-stability	1
model-analysis	1
seminal	1
lda	1

sdvillal's kernel-machines [62 articles] Export

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