memming's kernel-method [30 articles] Export Sort

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	STATISTICAL INFERENCE ON TIME SERIES BY RKHS Methods [My Copy] (JAN 1970) by Emanuel Parzen posted to time-series rkhs kernel-method correntropy by memming on 2009-12-06 17:43:35 as
	Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces [My Copy] Journal of Machine Learning Research, Vol. 5 (2004), pp. 73-99. by K. Fukumizu, F. R. Bach, M. I. Jordan posted to kernel-method jmlr by memming on 2009-12-01 16:56:38 as
	Hilbert space embeddings of conditional distributions with applications to dynamical systems [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 961-968. by Le Song, Jonathan Huang, Alex Smola, Kenji Fukumizu posted to probability kernel-method icml hilbert-space by memming on 2009-12-01 16:14:16 as along with 1 person daniel51
	Injective Hilbert space embeddings of probability measures [My Copy] In COLT (2008) by Sriperumbudur, Gretton, Fukumizu, Lanckriet, Schölkopf posted to hilbert-space kernel-method probability by memming on 2009-08-04 16:20:32 as
	Online Prediction of Time Series Data With Kernels [My Copy] Signal Processing, IEEE Transactions on In Signal Processing, IEEE Transactions on, Vol. 57, No. 3. (2009), pp. 1058-1067. by C. Richard, J. C. M. Bermudez, P. Honeine posted to kernel-method online-algorithm by memming on 2009-07-07 19:19:20 as
	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-method probability state-machine transducer by memming on 2009-06-08 03:59:20 as along with 3 people markusd m8j mahler
	Learning with kernels : support vector machines, regularization, optimization, and beyond [My Copy] (2002) by Bernhard Schölkopf, Alexander J. Smola posted to gaussian-process kernel-design kernel-method machine-learning rkhs by memming on 2009-05-19 16:31:20 as
	The Kernel Least-Mean-Square Algorithm [My Copy] Signal Processing, IEEE Transactions on In Signal Processing, IEEE Transactions on, Vol. 56, No. 2. (2008), pp. 543-554. by Weifeng Liu, P. P. Pokharel, J. C. Principe posted to adaptive-filter cnel kernel-method by memming on 2009-05-19 16:15:33 as
	Nonlinear Component Analysis as a Kernel Eigenvalue Problem [My Copy] Neural Computation, Vol. 10, No. 5. (1998), pp. 1299-1319. by Bernhard Schölkopf, Alexander Smola, Klaus R. Müller posted to kernel-method kpca by memming on 2009-05-19 16:13:47 as
	Spirals in Hilbert space: With an application in information theory [My Copy] Expositiones Mathematicae, Vol. 23, No. 1. (13 April 2005), pp. 23-45. by B. Fuglede posted to hilbert-space kernel-design kernel-method by memming on 2009-05-04 14:41:40 as
	The Kernel Trick for Distances [My Copy] In Neural Information Processing Systems (2000), pp. 301-307. by Bernhard Schölkopf posted to kernel kernel-method metric svm by memming on 2009-04-30 20:38:35 as along with 2 people rramirezp atbrew
	Hilbertian Metrics on Probability Measures and Their Application in SVM’s [My Copy] Pattern Recognition (2004), pp. 270-277. by Matthias Hein, Thomas N. Lal, Olivier Bousquet posted to itl kernel-design kernel-method measure statistics by memming on 2009-04-28 22:14:21 as
	Kernel methods for learning languages [My Copy] Theoretical Computer Science, Vol. 405, No. 3. (17 October 2008), pp. 223-236. by L. Kontorovich, C. Cortes, M. Mohri posted to kernel-design kernel-method by memming on 2009-04-27 15:10:17 as along with 3 people markusd m8j mahler
	Classes of kernels for machine learning: a statistics perspective [My Copy] J. Mach. Learn. Res., Vol. 2 (2002), pp. 299-312. by Marc G. Genton posted to kernel-design kernel-method by memming on 2009-04-22 07:23:23 as along with 1 person DavidSchulz
	Spikernels: Predicting Arm Movements by Embedding Population Spike Rate Patterns in Inner-Product Spaces [My Copy] Neural Computation, Vol. 17, No. 3. (March 2005), 671. by Lavi Shpigelman, Yoram Singer, Rony Paz, Eilon Vaadia posted to kernel-design kernel-method kernel-regression neural-decoder spike-train by memming on 2009-04-20 15:45:57 as along with 1 person balicea
	The pre-image problem in kernel methods [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 15, No. 6. (2004), pp. 1517-1525. by J. T. Y. Kwok, I. W. H. Tsang posted to kernel-method preimaging by memming on 2009-03-23 05:58:54 as
	Nonextensive entropic kernels [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 640-647. by André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing posted to information-theory kernel-design kernel-method by memming on 2009-02-13 14:11:02 as
	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-design kernel-method measure by memming on 2009-02-13 13:59:36 as along with 2 people scis0000001 Scis0000002
	Learning the Kernel with Hyperkernels [My Copy] Journal of Machine Learning Research, Vol. 6 (July 2005), pp. 1043-1071. by Cheng S. Ong, Alexander J. Smola, Robert C. Williamson posted to hyperkernel kernel-method kernel-design by memming on 2009-02-11 13:49:21 as
	Optimal kernel selection in Kernel Fisher discriminant analysis [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 465-472. by Seung-Jean Kim, Alessandro Magnani, Stephen Boyd posted to icml kernel-method optimization kernel-design by memming on 2009-02-11 13:30:28 as along with 4 people awg2 eddymier teesid jung_dalglish
	Support Vector Gmms for Speaker Verification [My Copy] Speaker and Language Recognition Workshop, 2006. IEEE Odyssey 2006: The In Speaker and Language Recognition Workshop, 2006. IEEE Odyssey 2006: The (2006), pp. 1-4. by N. Dehak, G. Chollet posted to kernel-method statistics kernel-design by memming on 2009-02-11 13:00:51 as along with 1 person ajstuapt
	Using the Fisher Kernel Method to Detect Remote Protein Homologies [My Copy] In Proceedings of the Seventh International Conference on Intelligent Systems for Molecular Biology (1999), pp. 149-158. by Tommi Jaakkola, Mark Diekhans, David Haussler posted to generative-modeling information-geometry kernel-method kernel-design by memming on 2009-01-26 15:20:48 as
	Probability Product Kernels [My Copy] J. Mach. Learn. Res., Vol. 5 (2004), pp. 819-844. by Tony Jebara, Risi Kondor, Andrew Howard posted to generative-modeling information-theoretic-learning kernel-method kernel-design by memming on 2009-01-26 14:57:12 as
	Learning with Distance Substitution Kernels [My Copy] Pattern Recognition (2004), pp. 220-227. by Bernard Haasdonk, Claus Bahlmann posted to indefinite-kernel kernel-method svm kernel-design by memming on 2009-01-25 15:33:58 as
	Representations of Hermitian Kernels¶by Means of Krein Spaces.¶II. Invariant Kernels [My Copy] Communications in Mathematical Physics, Vol. 216, No. 2. (12 February 2001), pp. 409-430. by T. Constantinescu, A. Gheondea posted to dissimilarity kernel-method krein-space kernel-design by memming on 2009-01-16 18:21:22 as
	A survey of kernels for structured data [My Copy] SIGKDD Explor. Newsl., Vol. 5, No. 1. (July 2003), pp. 49-58. by Thomas Gärtner posted to kernel-method by memming on 2009-01-06 18:41:46 as along with 7 people m8j mahler fabgoos rramirezp MarcoAlvarez jccaicedo whym
	A generalized kernel approach to dissimilarity-based classification [My Copy] J. Mach. Learn. Res., Vol. 2 (2002), pp. 175-211. by Elzbieta Pekalska, Pavel Paclik, Robert P. W. Duin posted to dissimilarity kernel-method metric-space by memming on 2008-12-25 16:07:51 as
	Time series filtering, smoothing and learning using the kernel Kalman filter [My Copy] Proceedings on IEEE International Joint Conference on Neural Networks (IJCNN) In Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on, Vol. 3 (2005), pp. 1449-1454 vol. 3. by L. Ralaivola, F. D'alche-Buc posted to kalman-filter kernel-method by memming on 2008-08-24 13:42:57 as along with 2 people sbenramdane santhosh
	Kernel-Granger causality and the analysis of dynamical networks [My Copy] Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Vol. 77, No. 5. (2008) by D. Marinazzo, M. Pellicoro, S. Stramaglia posted to granger-causality kernel-method by memming on 2008-06-27 22:13:19 as along with 1 person stringertheory
	Hilbertian Metrics and Positive Definite Kernels on Probability Measures [My Copy] In AISTATS (2005) by Matthias Hein, Olivier Bousquet posted to kernel-design kernel-method by memming on 2008-05-29 18:46:47 as

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memming's kernel-method [30 articles] Export Sort

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