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sdvillal kernel-machines [40 articles]

最近 sdvillal さんのライブラリに追加された論文の中から タグ kernel-machines. You can also see everyone's kernel-machines.
  • The Curse of Highly Variable Functions for Local Kernel Machines
    (2005)
    by Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux
    posted to locality kernel-machines dimension-reduction by sdvillal on 2008-07-15 16:09:15 as **
  • The Pyramid Match Kernel: Efficient Learning with Sets of Features
    Journal of Machine Learning Research, Vol. 8 (April 2007), pp. 725-760.
    by Kristen Grauman, Trevor Darrell
    posted to scalability kernel-machines image-processing by sdvillal on 2008-05-21 12:50:35 as ** along with 1 person vinaypn
  • Learning over Sets using Kernel Principal Angles
    Journal of Machine Learning Research, Vol. 4 (October 2003), pp. 913-931.
    by Lior Wolf, Amnon Shashua
    posted to sets-of-features multimedia-ir multi-instance kernel-machines image-processing dimension-reduction cbir by sdvillal on 2008-04-23 11:15:26 as **
  • Weighted support vector machine for data classification
    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
    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)
    (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 9 people and 1 group quianominorleo ecome AbnerCYH raiyar wenhan librain jung_dalglish robotact singhsh Medical Image Analysis and Visualization @ OSU
  • The Entire Regularization Path for the Support Vector Machine
    J. Mach. Learn. Res., Vol. 5 (2004), pp. 1391-1415.
    by Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu
    posted to kernel-machines model-selection by sdvillal on 2007-12-04 14:46:47 as **
  • Core Vector Machines: Fast SVM Training on Very Large Data Sets
    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 **
  • Kernel methods: a survey of current techniques
    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
    (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
    (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
    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.
    (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
    Machine Learning, Vol. 46, No. 1. (1 January 2002), pp. 11-19.
    by Christopher KI Williams
    posted to dimension-reduction kernel-machines locality by sdvillal on 2007-04-04 17:26:07 as **
  • Reducing multiclass to binary: a unifying approach for margin classifiers
    J. Mach. Learn. Res., Vol. 1 (2001), pp. 113-141.
    by Erin L Allwein, Robert E Schapire, Yoram Singer
    posted to boosting ensembles kernel-machines multiclass by sdvillal on 2007-03-31 19:47:59 as **
  • Infinite Ensemble Learning with Support Vector Machines
    : 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
    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 **
  • Learning from imbalanced data in surveillance of nosocomial infection
    Artificial Intelligence 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
    (2006)
    by Arnon Amir, Janne Argillander, Murray Campbell, Alexander Haubold, Giridharan Iyengar, Shahram Ebadollahi, Feng Kang, Milind R Naphade, Apostol Natsev, John R Smith, Jelena Tei, Timo Volkmer,
    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.
    BMC Bioinformatics, Vol. 7 (2006), 197.
    by X Zhang, X Lu, Q Shi, XQ Xu, HC Leung, LN Harris, JD Iglehart, A Miron, JS Liu, WH Wong
    posted to bioinformatics dimension-reduction embedded-fs feature-selection kernel-machines by sdvillal on 2007-03-10 17:52:12 as ** along with 3 people and 1 group chad_davis bundschu jianrong generif_paper
  • Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
    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
    (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
    (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
    IEEE International Conference on Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on (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
    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 1 person egallop
  • Statistical Learning Theory
    (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 12 people and 3 groups jaonary yaroslavvb gyuli grzegorz archroad paolo AbnerCYH abrentnall bundschu johnkork navil shimazaki Bioinformatics QFRMC_ConsumerCredit generif_paper
  • The Nature of Statistical Learning Theory (Information Science and Statistics)
    (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 12 people akastrin jaonary ecome yaroslavvb creswick mthomure atbrew girschick nmdang navil teesid jung_dalglish
  • Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods
    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 **
  • Learning Eigenfunctions Links Spectral Embedding and Kernel PCA
    Neural Comput., Vol. 16, No. 10. (October 2004), pp. 2197-2219.
    by Yoshua Bengio, Olivier Delalleau, Nicolas Le Roux, Jean-Francois Paiement, Pascal Vincent, Marie Ouimet
    posted to dimension-reduction kernel-machines spectral by sdvillal on 2006-10-24 06:09:55 as **
  • A kernel view of the dimensionality reduction of manifolds
    (2004)
    by Jihun Ham, Daniel D Lee, Sebastian Mika, Bernhard Schölkopf
    posted to dimension-reduction kernel-machines spectral by sdvillal on 2006-10-22 17:13:43 as ** along with 1 person gane5h
  • Learning a kernel matrix for nonlinear dimensionality reduction
    (2004)
    by Kilian Q Weinberger, Fei Sha, Lawrence K Saul
    posted to dimension-reduction kernel-machines spectral by sdvillal on 2006-10-22 17:11:01 as ** along with 2 people and 1 group jccaicedo bpacker vision-ng
  • Kernel Feature Selection
    (2003)
    by Lior Wolf, Amnon Shashua
    posted to dimension-reduction kernel-machines spectral by sdvillal on 2006-10-18 13:04:07 as ** along with 2 people sugarexpletive eacosta
  • An algorithm for semi-supervised learning in image retrieval
    Pattern Recognition, Vol. 39, No. 4. (April 2006), pp. 717-720.
    by Ke Lu, Jidong Zhao, Deng Cai
    posted to dimension-reduction kernel-machines semi-supervised spectral by sdvillal on 2006-10-15 17:28:26 as ** along with 4 people and 1 group thienanh kozaki thsant seudonimo_falso video_retrieval
  • Gene Selection for Cancer Classification using Support Vector Machines
    Mach. Learn., Vol. 46, No. 1-3. (2002), pp. 389-422.
    by Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik
    posted to bioinformatics dimension-reduction feature-selection kernel-machines by sdvillal on 2006-10-13 10:04:08 as ** along with 2 people sterovetta mmunson
  • Statistical Learning and Kernel Methods
    (2000)
    by Bernhard Schölkopf
    posted to kernel-machines by sdvillal on 2006-10-06 17:03:19 as read along with 3 people atbrew j0nes kozaki
  • Kernel Methods for Unsupervised Learning
    (2004)
    by Francesco Camastra
    posted to dimension-reduction kernel-machines occ-others by sdvillal on 2006-10-03 11:41:40 as **
  • A Novel Kernel Method for Clustering
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 5. (2005), pp. 801-804.
    by F Camastra, A Verri
    posted to dimension-reduction kernel-machines occ-applications by sdvillal on 2006-10-03 11:38:48 as ** along with 6 people and 2 groups davidr eme dragonrez filippone seudonimo_falso vplagnol astro csb_journal_club_public
  • Dimensionality reduction via sparse support vector machines
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 1229-1243.
    by Jinbo Bi, Kristin Bennett, Mark Embrechts, Curt Breneman, Minghu Song
    posted to dimension-reduction kernel-machines by sdvillal on 2006-09-24 18:19:03 as ** along with 2 people sona KaraNagai
  • A theoretical characterization of linear SVM-based feature selection
    (2004)
    by Douglas Hardin, Ioannis Tsamardinos, Constantin F Aliferis
    posted to dimension-reduction kernel-machines by sdvillal on 2006-09-24 18:06:44 as ** along with 3 people and 1 group olivierbousquet chad_davis bundschu generif_paper
  • Kernel Methods for Pattern Analysis
    (28 June 2004)
    by John Shawe-Taylor, Nello Cristianini
    posted to kernel-machines occ-support-vector by sdvillal on 2006-06-27 13:09:20 as ** along with 13 people and 3 groups quianominorleo sb-3000 davidr nello MatMay bayesian lyongu klaudius filippone ecome librain kozaki jung_dalglish Computational-Genomics Pattern-Analysis LTN
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