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teesid library [82 articles]

最近 teesid さんのライブラリ .
  • From noise-free to noise-tolerant and from on-line to batch learning
    (1995), pp. 250-257.
    by Norbert Klasner, Hans U Simon
    posted to online-learning by teesid on 2008-06-25 09:46:21 as *****
  • A Probabilistic Theory of Pattern Recognition
    (1996)
    by L Devroye, L Györfi, G Lugosi
    posted to file-import-08-04-21 by teesid on 2008-04-21 09:16:58 as **
  • Local Discriminant Embedding with Tensor Representation
    Image Processing, 2006 IEEE International Conference on (2006), pp. 929-932.
    by Jian Xia, Dit-Yan Yeung, Guang Dai
    posted to metric-learning tensor by teesid on 2008-03-12 08:26:22 as **
  • Making large-scale support vector machine learning practical
    (1998)
    by T Joachims
    edited by CB Schölkopf
    posted to svm by teesid on 2008-03-07 14:09:27 as ** along with 4 people jerome chad_davis gkvas lp2
  • Learning Graph Matching
    Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on (2007), pp. 1-8.
    by Tiberio S Caetano, Li Cheng, Quoc V Le, Alex J Smola
    posted to graph by teesid on 2008-03-03 08:07:08 as **
  • A Parallel Algorithm for Solving LCS of Multiple Bioseqences
    Machine Learning and Cybernetics, 2006 International Conference on (2006), pp. 4316-4321.
    by Wei Liu, Ling Chen
    posted to misc by teesid on 2008-02-20 03:37:23 as **
  • Continuous lunches are free!
    (2007), pp. 916-922.
    by Anne Auger, Olivier Teytaud
    posted to evo by teesid on 2008-02-18 10:36:24 as ****
  • Rank, Trace-Norm and Max-Norm
    Learning Theory (2005), pp. 545-560.
    by Nathan Srebro, Adi Shraibman
    posted to machine-learning by teesid on 2008-02-07 09:47:31 as *****
  • Nonlinear Component Analysis as a Kernel Eigenvalue Problem
    Neural Comp., Vol. 10, No. 5. (1 July 1998), pp. 1299-1319.
    by Bernhard Scholkopf, Alexander Smola, Klaus-Robert Muller
    posted to kernel by teesid on 2008-02-02 13:24:02 as ***** along with 2 people bayesian lauren
  • Support Vector Machines with Applications
    (28 Dec 2006)
    by Javier M Moguerza, Alberto Muñoz
    posted to svm by teesid on 2008-01-28 09:31:54 as ***** along with 2 people and 1 group fredguilloux eme astro
  • Concentration Inequalities and Empirical Processes Theory Applied to the Analysis of Learning Algorithms
    (2002)
    by Olivier Bousquet
    posted to machine-learning by teesid on 2008-01-14 11:58:43 as ***
  • On the extensions of kernel alignment
    (2002)
    by J Kandola, Shawe J Taylor, N Cristianini
    posted to kernel by teesid on 2008-01-13 09:24:52 as *****
  • Optimizing kernel alignment over combinations of kernels (Technical Report 2002-121)
    (2002)
    by J Kandola, Shawe J Taylor, N Cristianini
    posted to kernel by teesid on 2008-01-13 09:23:41 as *****
  • On the Complexity of Learning the Kernel Matrix
    Advances in Neural Information Processing Systems 15: Proceedings of the 2002 Conference (2003)
    by O Bousquet, DJL Herrmann
    posted to kernel by teesid on 2008-01-13 09:22:25 as **
  • On Kernel-Target Alignment
    by Nello Cristianini, John S Taylor, André Elisseeff
    posted to kernel by teesid on 2008-01-10 06:12:45 as ***** along with 3 people and 1 group ecome atbrew jsr LTN
  • A kernel between sets of vectors
    (2003)
    by R Kondor, T Jebara
    posted to kernel by teesid on 2008-01-10 06:03:01 as **** along with 1 person bbabenko
  • A Simple Unifying Theory of Multi-Class Support Vector Machines
    by Y Guermeur
    posted to svm by teesid on 2008-01-09 11:09:46 as ****
  • Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces
    J. Mach. Learn. Res., Vol. 5 (2004), pp. 73-99.
    by Kenji Fukumizu, Francis R Bach, Michael I Jordan
    posted to kernel by teesid on 2007-12-26 07:37:32 as ***** along with 2 people k12u mmunson
  • Large Margin Component Analysis
    (2007), pp. 1385-1392.
    by Lorenzo Torresani, Kuang C Lee
    edited by B Schölkopf, J Platt, T Hoffman
    posted to kernel metric-learning by teesid on 2007-12-25 20:07:08 as ***** along with 1 person jung_dalglish
  • Metric Embedding for Nearest Neighbor Classification
    (24 Jun 2007)
    by Bharath K Sriperumbudur, Gert RG Lanckriet
    posted to kernel metric-learning by teesid on 2007-12-25 19:42:54 as ***** along with 1 person bigbossman
  • Orthogonality and Linear Functionals in Normed Linear Spaces
    Transactions of the American Mathematical Society, Vol. 61, No. 2. (1947), pp. 265-292.
    by Robert C James
    posted to kernel by teesid on 2007-12-25 10:43:03 as ****
  • Semi-Inner-Product Spaces
    Transactions of the American Mathematical Society, Vol. 100, No. 1. (1961), pp. 29-43.
    by G Lumer
    posted to kernel by teesid on 2007-12-25 10:40:34 as ****
  • Classes of Semi-Inner-Product Spaces
    Transactions of the American Mathematical Society, Vol. 129, No. 3. (1967), pp. 436-446.
    by JR Giles
    posted to kernel by teesid on 2007-12-25 10:38:29 as ****
  • An Introduction to Reproducing Kernel Hilbert Spaces and Why They are So Useful
    Proceedings of the 13th IFAC Symposium on System Identification (SYSID 2003) (2003)
    by G Wahba
    posted to kernel by teesid on 2007-12-21 16:56:56 as read
  • A Generalized Representer Theorem
    (2001), pp. 416-426.
    by Bernhard Schölkopf, Ralf Herbrich, Alex J Smola
    posted to kernel by teesid on 2007-12-21 16:53:04 as read along with 1 person jung_dalglish
  • Large-Margin Classification in Banach Spaces
    Vol. 2 (2007), pp. 91-98.
    by Ricky Der, Daniel Lee
    edited by Marina Meila, Xiaotong Shen
    posted to machine-learning by teesid on 2007-12-20 09:02:20 as read
  • Distance--Based Classification with Lipschitz Functions
    J. Mach. Learn. Res., Vol. 5 (2004), pp. 669-695.
    by Ulrike von Luxburg, Olivier Bousquet
    posted to metric-learning by teesid on 2007-12-20 08:02:57 as ****
  • Maximal margin classification for metric spaces
    J. Comput. Syst. Sci., Vol. 71, No. 3. (October 2005), pp. 333-359.
    by Matthias Hein, Olivier Bousquet, Bernhard Schölkopf
    posted to machine-learning by teesid on 2007-12-20 07:54:11 as ****
  • Nearest neighbor pattern classification
    Information Theory, IEEE Transactions on, Vol. 13, No. 1. (1967), pp. 21-27.
    by T Cover, P Hart
    posted to machine-learning by teesid on 2007-12-19 12:00:37 as ***** along with 2 people atbrew sampath
  • Rational Kernels
    (2003)
    by C Cortes, P Haffner, M Mohri
    posted to kernel by teesid on 2007-12-18 14:06:31 as **** along with 1 person markusd
  • Structure and randomness in combinatorics
    (29 Jul 2007)
    by Terence Tao
    posted to misc by teesid on 2007-12-18 11:43:07 as ** along with 6 people and 4 groups ansobol jrw euclid proportional NeilInCanadia bigbossman Algorithms metric_embeddings TCS Polytopes
  • Pattern Recognition and Machine Learning (Information Science and Statistics)
    (28 August 2006)
    by Christopher M Bishop
    posted to machine-learning by teesid on 2007-12-18 11:37:20 as **** along with 22 people and 5 groups filippone quianominorleo matjes delip markusd eddymier yaroslavvb sdvillal nojhan gkvas paulinus ajylha helsley hawkes zeppe poluxmoon librain kohei-h brianmc napvasconcelos robotact Hoertnagl EvolutionaryComputation Metaheuristics Optimization contact-id MuSAMA
  • Introduction to Statistical Pattern Recognition, Second Edition (Computer Science and Scientific Computing Series)
    (28 September 1990)
    by Keinosuke Fukunaga
    posted to machine-learning by teesid on 2007-12-18 11:36:53 as ** along with 3 people matjes yaroslavvb sdvillal
  • Duality between probability and optimization
    (1997)
    by M Akian, J Quadrat, M Viot
    posted to optimization by teesid on 2007-12-18 11:36:28 as ***** along with 1 person yaroslavvb
  • Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
    Journal of Machine Learning Research, Vol. 7 (November 2006), pp. 2399-2434.
    by Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
    posted to manifold by teesid on 2007-12-18 11:34:31 as ***** along with 3 people davidr Scis0000002 mctor
  • The Importance of Being First: Position Dependent Citation Rates on arXiv:astro-ph
    (6 Dec 2007)
    by JP Dietrich
    posted to misc by teesid on 2007-12-18 11:31:44 as ** along with 3 people ansobol bigbossman JSicot
  • A Not-so-Characteristic Equation: the Art of Linear Algebra
    (12 Dec 2007)
    by Elisha Peterson
    posted to misc by teesid on 2007-12-18 11:31:13 as *** along with 2 people arsyed ansobol
  • A beginner's guide to forcing
    (9 Dec 2007)
    by Timothy Y Chow
    posted to misc by teesid on 2007-12-18 11:26:25 as *** along with 4 people and 1 group ansobol dmitri83 archernikov jedal Model theory
  • Unsupervised learning of image manifolds by semidefinite programming
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, Vol. 2 (2004), pp. II-988-II-995 Vol.2.
    by KQ Weinberger, LK Saul
    posted to manifold by teesid on 2007-12-18 11:15:09 as read along with 1 person and 1 group bpacker vision-ng
  • Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
    (2007), pp. 854-863.
    by Jieping Ye, Shuiwang Ji, Jianhui Chen
    posted to gram-matrix-learning by teesid on 2007-12-18 11:12:46 as ***** along with 1 person jung_dalglish
  • Determinant Maximization with Linear Matrix Inequality Constraints
    SIAM Journal on Matrix Analysis and Applications, Vol. 19, No. 2. (1998), pp. 499-533.
    by Lieven Vandenberghe, Stephen Boyd, Shao P Wu
    posted to optimization by teesid on 2007-12-18 11:08:48 as ***** along with 1 person patrickmo
  • Nonlinear Dimensionality Reduction by Locally Linear Embedding
    Science, Vol. 290, No. 5500. (2000), pp. 2323-2326.
    by ST Roweis, LK Saul
    posted to manifold by teesid on 2007-12-18 11:00:20 as read along with 2 people and 1 group lewfish jung_dalglish UT-SPAIR
  • Max-algebra: the linear algebra of combinatorics?
    Linear Algebra and its Applications, Vol. 367 (1 July 2003), pp. 313-335.
    by Peter Butkovic
    posted to misc by teesid on 2007-12-18 10:59:22 as **** along with 1 person and 1 group AbnerCYH CSBBGraphTheory
  • Regularized principal manifolds
    J. Mach. Learn. Res., Vol. 1 (2001), pp. 179-209.
    by Alexander J Smola, Sebastian Mika, Bernhard Schölkopf, Robert C Williamson
    posted to manifold by teesid on 2007-12-18 10:56:33 as **
  • Kernel PCA and de-noising in feature spaces
    (1999), pp. 536-542.
    by Sebastian Mika, Bernhard Schölkopf, Alex Smola, Klaus-Robert Müller, Matthias Scholz, Gunnar Rätsch
    posted to kernel by teesid on 2007-12-18 10:54:28 as read
  • Local Linear Projection (LLP)
    by Xiaoming Huo, Jihong Chen
    posted to manifold by teesid on 2007-12-18 10:52:21 as read
  • Convex Optimization \& Euclidean Distance Geometry
    (2005)
    by J Dattorro
    posted to optimization by teesid on 2007-12-18 10:48:45 as *****
  • Robust Euclidean embedding
    (2006), pp. 169-176.
    by Lawrence Cayton, Sanjoy Dasgupta
    posted to manifold by teesid on 2007-12-18 10:44:47 as read along with 1 person jung_dalglish
  • Convex Optimization
    (08 March 2004)
    by Stephen Boyd, Lieven Vandenberghe
    posted to optimization by teesid on 2007-12-18 10:41:38 as read along with 20 people and 2 groups samedina daniel51 gixgax ansobol yaroslavvb gyuli dariusb joeionnojitsu pjliu BarrosH mh olethros sdvillal NeilInCanadia ngoncalves atbrew paulinus alexv jung_dalglish BrianTomasik Autonomous_Vehicles Networked_Control_Systems
  • The Nature of Statistical Learning Theory (Information Science and Statistics)
    (19 November 1999)
    by Vladimir N Vapnik
    posted to machine-learning by teesid on 2007-12-18 10:39:59 as *** along with 12 people akastrin jaonary ecome yaroslavvb creswick mthomure sdvillal atbrew girschick nmdang navil jung_dalglish
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