rramirezp's library 49 articles Export

	The Kernel Trick for Distances [My Copy] In NIPS (2000), pp. 301-307. by Bernhard Scholkopf posted to kernel-methods by rramirezp on 2009-06-28 16:47:53 as along with 2 people memming atbrew
	A Scalable and Efficient Outlier Detection Strategy for Categorical Data [My Copy] In IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Patras, Greece (2007) by A. Koufakou, E. Ortiz, M. Georgiopoulos, G. Anagnostopoulos, K. Reynolds posted to categorical-data outlier-detection by rramirezp on 2009-06-19 19:12:37 as
	Outlier Detection with Kernel Density Functions [My Copy] In MLDM '07: Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition (2007), pp. 61-75. by Longin J. Latecki, Aleksandar Lazarevic, Dragoljub Pokrajac posted to kernel-methods outlier-detection by rramirezp on 2009-06-19 19:05:29 as along with 1 person sdvillal
	Large Scale Multiple Kernel Learning [My Copy] Journal of Machine Learning Research, Vol. 7 (July 2006), pp. 1531-1565. by Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf posted to kernel-methods machine-learning multiple-kernel-learning by rramirezp on 2009-06-17 22:33:04 as along with 3 people xuzhe83 jjrodriguez librain
	A generalization of principal component analysis to K sets of variables [My Copy] Computational Statistics and Data Analysis, Vol. 35, No. 4. (2001), pp. 417-428. by P. Casin posted to multiple-datasets pca by rramirezp on 2009-06-17 15:38:29 as
	Singular Value Decomposition and Principal Component Analysis [My Copy] In A Practical Approach to Microarray Data Analysis (3 Mar 2003), pp. 91-109. by Michael E. Wall, Andreas Rechtsteiner, Luis M. Rocha edited by D. P. Berrar, W. Dubitzky, M. Granzow posted to bioinformatics machine-learning pca svd by rramirezp on 2009-06-17 15:22:28 as along with 12 people hjayaweera svozil pdlug elsantosneto stanley mystery sdvillal sugarexpletive kklo rspeer zambujo AbnerCYH
	Principal component analysis of genetic data [My Copy] Nature Genetics, Vol. 40, No. 5., pp. 491-492. by David Reich, Alkes L. Price, Nick Patterson posted to bioinformatics pca by rramirezp on 2009-06-17 15:13:08 as along with 2 people jsatkosk guhjy
	Principal component analysis of compositional data [My Copy] Biometrika, Vol. 70, No. 1. (1 April 1983), pp. 57-65. by J. Aitchison posted to compositional-data pca by rramirezp on 2009-06-17 15:10:01 as along with 1 person vlachmore
	Classes of Kernels for Machine Learning: A Statistics Perspective [My Copy] Journal of Machine Learning Research, Vol. 2 (December 2001), pp. 299-312. by Marc G. Genton posted to kernel-methods machine-learning by rramirezp on 2009-06-16 15:56:13 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 kernel-methods kernel-pca mds by rramirezp on 2009-06-15 16:44:41 as along with 1 person sdvillal
	On kernel-target alignment [My Copy] In Advances in Neural Information Processing Systems 14, Vol. 14 (2002), pp. 367-373. by Nello Cristianini, John Shawe-Taylor, Andre Elissee, Jaz Kandola posted to kernel-methods machine-learning supervised-learning by rramirezp on 2009-06-10 20:34:56 as along with 1 person jccaicedo
	Convolution kernels on discrete structures [My Copy] (1999) by David Haussler posted to kernel-methods machine-learning by rramirezp on 2009-06-08 15:32:32 as along with 1 person amac
	Unsupervised Profiling Methods for Fraud Detection [My Copy] Statistical Science, Vol. 17, No. 3. (2002), pp. 235-255. by Richard J. Bolton, David J. Hand posted to k-medoids outlier-detection unsupervised-learning by rramirezp on 2009-06-05 16:16:02 as along with 5 people sdvillal mmcgloho seunkemikola mnorlain issbg
	Support vector machines for pattern classification [My Copy] (2005) by S. Abe posted to book support-vector-machine by rramirezp on 2009-06-04 03:24:21 as
	Nonlinear Dimensionality Reduction by Locally Linear Embedding [My Copy] Science, Vol. 290, No. 5500. (22 December 2000), pp. 2323-2326. by Sam T. Roweis, Lawrence K. Saul posted to dimensionality-reduction non-linear by rramirezp on 2009-06-04 03:16:19 as along with 34 people and 4 groups pingmei Cavadini singhsh caicai tfx klmoravec jzujovic Scis0000002 ajbattle shpigi thefillm jtbassic babakap qwermish briordan weiweiguo egozi yaroslavvb gangli yas yama_tah filippone tag sdvillal dgront walkking jguinney kenji4569 DavidSchulz mdramirez mctor amargoli matjes eddymier tulip T_lab metric_embeddings Computer_Graphics
	A Global Geometric Framework for Nonlinear Dimensionality Reduction [My Copy] Science, Vol. 290, No. 5500. (22 December 2000), pp. 2319-2323. by J. B. Tenenbaum posted to dimensionality-reduction non-linear by rramirezp on 2009-06-04 03:13:37 as along with 30 people and 4 groups pingmei seb1 Cavadini akuhn banus caicai klmoravec weiweiguo babakap dcoates thefillm christofseiler qwermish egozi aufrank k12u yas metamerist yama_tah tag mthomure sdvillal dgront voiklis dwf DavidSchulz teesid jung_dalglish mctor matjes ur-cls T_lab metric_embeddings ColDyn
	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-methods review structured-data by rramirezp on 2009-06-04 02:50:27 as along with 7 people m8j mahler fabgoos MarcoAlvarez memming jccaicedo whym
	Statistical properties of kernel principal component analysis [My Copy] Machine Learning, Vol. 66, No. 2. (2007), pp. 259-294. by G. Blanchard, O. Bousquet, L. Zwald posted to kernel-methods kernel-pca by rramirezp on 2009-06-04 02:44:04 as
	Learning a kernel matrix for nonlinear dimensionality reduction [My Copy] In Proceedings of the twenty-first international conference on Machine learning (2004) by K. Q. Weinberger, F. Sha, L. K. Saul posted to dimensionality-reduction kernel-methods by rramirezp on 2009-06-04 02:39:34 as
	An efficient method for tuning kernel parameter of the support vector machine [My Copy] In IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004, Vol. 2 (2004) by R. Debnath, H. Takahashi posted to kernel-methods parameter-estimation support-vector-machine by rramirezp on 2009-06-04 02:30:07 as
	Learning the kernel matrix with semidefinite programming [My Copy] Journal of Machine Learning Research, Vol. 5 (2004), pp. 27-72. by Gert Lanckriet, Nello Cristianini, Peter Bartlett, Laurent E. Ghaoui posted to kernel-methods semidefinite-programming by rramirezp on 2009-06-04 02:23:00 as along with 1 person inayatkh
	Choosing the kernel parameters for support vector machines by the inter-cluster distance in the feature space [My Copy] Pattern Recogn., Vol. 42, No. 5. (2009), pp. 710-717. by Kuo P. Wu, Sheng De Wang posted to cluster kernel-methods support-vector-machine by rramirezp on 2009-06-04 02:21:49 as
	Learning the kernel parameters in kernel minimum distance classifier [My Copy] Pattern Recognition, Vol. 39, No. 1. (2006), pp. 133-135. by D. Zhang, S. Chen, Z. H. Zhou posted to kernel-methods machine-learning by rramirezp on 2009-06-04 02:19:59 as
	Kernel Methods for Measuring Independence [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 2075-2129. by Arthur Gretton, Ralf Herbrich, Alexander Smola, Olivier Bousquet, Bernhard Schölkopf posted to independence kernel-methods machine-learning by rramirezp on 2009-06-04 02:14:59 as along with 1 person bbauwens
	A tutorial on kernel methods for categorization [My Copy] Journal of Mathematical Psychology, Vol. 51, No. 6. (December 2007), pp. 343-358. by F. Jakel, B. Scholkopf, F. Wichmann posted to categorization kernel-methods machine-learning by rramirezp on 2009-06-04 02:14:12 as along with 3 people my_bookmarks bayesian haiyeong
	Kernel Methods in Computational Biology [My Copy] (01 August 2004) by Bernhard Schölkopf, Koji Tsuda, Jean-Philippe Vert edited by Bernhard Schölkopf, Koji Tsuda, Jean-Philippe Vert posted to bioinformatics book computational-biology kernel-methods by rramirezp on 2009-06-04 02:13:28 as along with 4 people remoteFuture stharward Scis0000002 thefillm
	Kernel Methods in Machine Learning [My Copy] The Annals of Statistics (31 Jan 2008) by Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola posted to journal-paper kernel-methods machine-learning review by rramirezp on 2009-06-04 02:12:55 as along with 2 people and 1 group vlachmore smallbadguy 18th-century_history_culture_and_society
	Kernel PCA for novelty detection [My Copy] Pattern Recognition, Vol. 40, No. 3. (March 2007), pp. 863-874. by Heiko Hoffmann posted to journal-paper kernel-methods kernel-pca novelty-detection by rramirezp on 2009-06-04 02:08:07 as along with 2 people sdvillal fabiomanzoni
	Kernel conjugate gradient [My Copy] (2005) by N. Ratliff, J. A. Bagnell posted to conjugate-gradient kernel-methods by rramirezp on 2009-06-04 02:04:10 as
	Nonlinear component analysis as a kernel eigenvalue problem [My Copy] (1998) by B. Sch, o. Smola, K. Uller posted to kernel-methods kernel-pca by rramirezp on 2009-06-04 01:57:21 as along with 3 people fabee bhamcnil kaineci
	Sparse Bayesian Learning and the Relevance Vector Machine [My Copy] Journal of Machine Learning Research, Vol. 1 (2001), pp. 211-244. by Michael E. Tipping posted to bayesian-learning journal-paper machine-learning relevance-vector-machine support-vector-machine by rramirezp on 2009-06-04 01:55:34 as along with 4 people Theo flavian_vasile mymemento girschick
	Kernel principal component analysis [My Copy] Advances in kernel methods: support vector learning (1999), pp. 327-352. by Bernhard Schlkopf, Alexander J. Smola, Klaus R. Müller posted to kernel-methods kernel-pca by rramirezp on 2009-06-04 01:51:11 as along with 4 people pingmei m8j mahler atbrew
	A Framework for Robust Subspace Learning [My Copy] International Journal of Computer Vision, Vol. 54, No. 1. (2003), pp. 117-142. by De La, Michael J. Black posted to computer-vision dimensionality-reduction journal-paper robust-methods subspace-learning by rramirezp on 2009-06-04 01:47:55 as along with 1 person bamberg
	A Survey of Outlier Detection Methodologies [My Copy] Artif. Intell. Rev., Vol. 22, No. 2. (October 2004), pp. 85-126. by Victoria Hodge, Jim Austin posted to journal-paper outlier-detection review by rramirezp on 2009-06-03 22:28:23 as along with 2 people pbk kklo
	Outlier Detection for High Dimensional Data [My Copy] In SIGMOD Conference (2001) by Charu C. Aggarwal, Philip S. Yu posted to conference-paper high-dimensional-data outlier-detection by rramirezp on 2009-06-03 22:27:45 as along with 3 people atbrew hmahmood sparikh
	A new initialization technique for generalized Lloyd iteration [My Copy] Signal Processing Letters, IEEE, Vol. 1, No. 10. (1994), pp. 144-146. by I. Katsavounidis, C. Jay, Zhen Zhang posted to cluster k-means lloyd-algorithm vector-quantization by rramirezp on 2009-06-03 20:23:09 as along with 1 person ali
	Diffusion kernels on graphs and other discrete input spaces [My Copy] (2002) by R. Kondor, J. Lafferty posted to categorical-data graph kernel-methods by rramirezp on 2009-06-03 20:12:55 as along with 4 people bcao kohei-o vlachmore aheilbut
	Kernel Methods for Pattern Analysis [My Copy] (28 June 2004) by John Shawe-Taylor, Nello Cristianini posted to book kernel-methods machine-learning pattern-analysis by rramirezp on 2009-06-03 18:44:40 as along with 17 people and 3 groups gavin1332 vlasto thefillm sb-3000 davidr nello MatMay bayesian lyongu klaudius filippone sdvillal ecome librain kozaki jung_dalglish quianominorleo Computational-Genomics Pattern-Analysis LTN
	A k-mean clustering algorithm for mixed numeric and categorical data [My Copy] Data Knowl. Eng., Vol. 63, No. 2. (2007), pp. 503-527. by Amir Ahmad, Lipika Dey posted to categorical-data cluster k-means by rramirezp on 2009-06-03 18:36:45 as along with 1 person pbk
	Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values [My Copy] Data Mining and Knowledge Discovery, Vol. 2, No. 3. (1998), pp. 283-304. by Zhexue Huang posted to categorical-data cluster k-means large-data-set by rramirezp on 2009-06-03 18:35:39 as
	Kernel K-means for categorical data [My Copy] Lecture notes in computer science, Vol. 3646 (2005) by J. Couto posted to categorical-data k-means kernel-methods by rramirezp on 2009-06-03 18:31:27 as
	A kernel between sets of vectors [My Copy] In Proc. of ICML-2003, Washington DC. (2003) by R. Kondor, T. Jebara posted to conference-paper kernel-methods kernel-pca by rramirezp on 2009-06-03 18:23:14 as along with 4 people m8j mahler teesid bbabenko
	Principal component neural networks: theory and applications [My Copy] (1996) by K. I. Diamantaras, S. Y. Kung posted to book neural-networks pca by rramirezp on 2009-06-03 15:56:46 as
	Principles of Compositional Data Analysis [My Copy] Lecture Notes-Monograph Series, Vol. 24 (1994), pp. 73-81. by John Aitchison posted to compositional-data journal-paper by rramirezp on 2009-06-03 15:53:15 as along with 1 person dalexander
	Principal Component Analysis of Compositional Data [My Copy] Biometrika, Vol. 70, No. 1. (1983), pp. 57-65. by J. Aitchison posted to compositional-data journal-paper pca by rramirezp on 2009-06-02 16:34:24 as along with 1 person dalexander
	Survey on independent component analysis [My Copy] Neural Computing Surveys, Vol. 2 (1999), pp. 94-128. by A. Hyvärinen posted to ica independent-component-analysis journal-paper review by rramirezp on 2009-06-02 16:33:04 as along with 5 people tfx sdvillal bigbossman sugarexpletive archerC
	Developments and Applications of Nonlinear Principal Component Analysis – a Review [My Copy] Principal Manifolds for Data Visualization and Dimension Reduction (2007), pp. 1-43. by Uwe Kruger, Junping Zhang, Lei Xie posted to feature-extraction journal-paper machine-learning non-linear-pca pca by rramirezp on 2009-06-02 16:17:42 as along with 2 people and 3 groups bertelsen nojhan EvolutionaryComputation Metaheuristics Optimization
	An Introduction to Variable and Feature Selection [My Copy] Journal of Machine Learning Research, Vol. 3 (March 2003), pp. 1157-1182. by Isabelle Guyon, André Elisseeff posted to feature-selection journal-paper machine-learning by rramirezp on 2009-06-02 15:07:35 as along with 6 people and 1 group jdu pimmy stharward davclark ednarofi vlachmore Skills, Automaticity and Imaging Methods
	Selection of relevant features and examples in machine learning [My Copy] Artificial Intelligence, Vol. 97 (1997), pp. 245-271. by Avrim L. Blum, Pat Langley posted to example-selection feature-selection journal-paper machine-learning by rramirezp on 2009-06-02 03:31:04 as

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kernel-methods	26
machine-learning	14
journal-paper	11
pca	7
kernel-pca	6
categorical-data	5
outlier-detection	5
book	4
cluster	4
dimensionality-reduction	4
k-means	4
review	4
support-vector-machine	4
bioinformatics	3
compositional-data	3
conference-paper	2
feature-selection	2
non-linear	2
bayesian-learning	1
categorization	1
computational-biology	1
computer-vision	1
conjugate-gradient	1
example-selection	1
feature-extraction	1
graph	1
high-dimensional-data	1
ica	1
independence	1
independent-component-analysis	1
k-medoids	1
large-data-set	1
lloyd-algorithm	1
mds	1
multiple-datasets	1
multiple-kernel-learning	1
neural-networks	1
non-linear-pca	1
novelty-detection	1
parameter-estimation	1
pattern-analysis	1
relevance-vector-machine	1
robust-methods	1
semidefinite-programming	1
structured-data	1
subspace-learning	1
supervised-learning	1
svd	1
unsupervised-learning	1
vector-quantization	1

rramirezp's library 49 articles Export

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