vlachmore's dimensionality [19 articles] Export

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	Relation between PLSA and NMF and implications [My Copy] In SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval (2005), pp. 601-602. by Eric Gaussier, Cyril Goutte posted to analysis dimensionality factorization laten matrix non-negative probabilistic reduction semantic by vlachmore on 2008-08-04 19:22:02 as along with 1 person pprett
	Variational extensions to EM and multinomial PCA [My Copy] (2002) by W. Buntine posted to dimensionality multinomial pca reduction by vlachmore on 2008-08-04 19:20:25 as
	Exponential family sparse coding with application to self-taught learning with text documents [My Copy] In Proceedings of the Workshop on Prior Knowledge for Text and Language (2008) by Honglak Lee, Rajat Raina, Alex Teichman, Andrew Y. Ng posted to dimensionality feature reduction selection text by vlachmore on 2008-07-24 16:55:06 as
	Dirichlet Component Analysis: Feature Extraction for Compositional Data [My Copy] In Proceedings of the 25th International Conference on Machine Learning (2008), pp. 1128-1135. by Hua-Yan Wang, Qiang Yang, Hong Qin, Hongbin Zha posted to analysis component dimensionality dirichlet reduction by vlachmore on 2008-07-24 15:52:51 as
	Discrete Component Analysis [My Copy] (2006) by Wray Buntine, Aleks Jakulin posted to analysis component dimensionality discrete reduction by vlachmore on 2008-07-15 17:12:01 as along with 3 people mshafiei cbosuna bhaddow
	Algorithms for Non-negative Matrix Factorization [My Copy] In NIPS (2000), pp. 556-562. by Daniel D. Lee, Sebastian H. Seung posted to dimensionality factorization matrix non-negative reduction by vlachmore on 2008-06-13 14:57:49 as along with 16 people and 2 groups bcao sainsworth pprett ppeeling anar yas luispedro pliz walkking aviad_work atbrew sugarexpletive phlow vsree007 dragonrez cager T_lab Computer_Graphics
	A generalization of principal component analysis to the exponential family [My Copy] (2001) by M. Collins, S. Dasgupta, R. Schapire posted to analysis component dimensionality exponential pca principal reduction by vlachmore on 2008-06-13 13:58:50 as along with 2 people and 1 group mdreid tdhollan Statistical Machine Learning
	Sufficient Dimensionality Reduction [My Copy] by Amir Globerson, Naftali Tishby posted to dimensionality reduction selection unsupervised variable by vlachmore on 2008-06-04 16:57:50 as along with 2 people and 1 group mdreid tdhollan Statistical Machine Learning
	Detecting Stable Clusters Using Principal Component Analysis [My Copy] Functional Genomics (2003), pp. 159-182. by Asa Ben-Hur, Isabelle Guyon posted to analysis clustering component dimensionality pca principal reduction selection unsupervised variable by vlachmore on 2008-06-04 16:43:30 as
	Unsupervised Feature Selection Using Feature Similarity [My Copy] IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 4. (2002) by P. Mitra, C. A. Murthy, S. K. Pal posted to dimensionality reduction selection unsupervised variable by vlachmore on 2008-06-04 16:33:24 as along with 2 people Scis0000002 sugarexpletive
	Variable Selection for Model-Based Clustering [My Copy] Journal of the American Statistical Association, Vol. 101, No. 473. (March 2006), pp. 168-178. by Adrian E. Raftery, Nema Dean posted to clustering dimensionality reduction selection unsupervised variable by vlachmore on 2008-06-04 16:30:07 as along with 2 people amargoli filippone
	Unsupervised Forward Selection: A Method for Eliminating Redundant Variables [My Copy] J. Chem. Inf. Comput. Sci., Vol. 40, No. 5. (25 September 2000), pp. 1160-1168. by D. C. Whitley, M. G. Ford, D. J. Livingstone posted to clustering dimensionality reduction selection unsupervised variable by vlachmore on 2008-06-04 16:26:50 as along with 2 people ihaque elvinado
	CLIFF: Clustering of High-Dimensional Microarray Data via Iterative Feature Filtering Using Normalized Cuts [My Copy] In Proceedings of the GCB (2001) by Eric P. Xing, Richard M. Karp posted to clustering dimensionality reduction selection unsupervised variable by vlachmore on 2008-06-04 16:22:45 as
	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 dimensionality feature reduction selection variable by vlachmore on 2008-05-15 15:25:03 as along with 6 people and 1 group jdu pimmy stharward rramirezp davclark ednarofi Skills, Automaticity and Imaging Methods
	The Laplacian eigenmaps latent variable model [My Copy] In Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS 2007) (2007) by Miguel A. Careirra-Perpinan, Zhengdong Lu edited by Marina Meila, Xiaotong Shen posted to dimensionality eigenvalues laplacian reduction by vlachmore on 2008-01-30 17:19:23 as along with 1 person briordan
	Probabilistic principal component analysis [My Copy] (1997) by M. Tipping, C. Bishop posted to analysis component dimensionality principal probabilistic reduction by vlachmore on 2008-01-27 14:22:15 as along with 10 people and 3 groups pdlug davidr bpacker mad ecome Theo walkking flavian_vasile ShaileshKumar kohei-h vision-ng LTN Computer_Graphics
	Reducing the dimensionality of compositional data sets [My Copy] Mathematical Geology, Vol. 16, No. 6. (1984), pp. 617-635. by J. Aitchison posted to analysis component dimensionality pca principal reduction by vlachmore on 2008-01-27 14:02:05 as
	Principal component analysis of compositional data [My Copy] Biometrika, Vol. 70, No. 1. (1 April 1983), pp. 57-65. by J. Aitchison posted to analysis component compositional datasets dimensionality pca principal reduction by vlachmore on 2008-01-27 14:00:21 as along with 1 person rramirezp
	<i>K</i>-means clustering via principal component analysis [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004) by Chris Ding, Xiaofeng He posted to clustering dimensionality k-means pca reduction by vlachmore on 2008-01-18 19:00:33 as

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learning	87
bionlp	86
clustering	63
entity	47
active	46
named	45
recognition	45
process	39
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dirichlet	33
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vector	31
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text	27
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semi-supervised	21
models	20
dimensionality	19
extraction	19
reduction	19
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gene	17
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svm	15
machine	14
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software	14
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relation	10
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vlachmore's dimensionality [19 articles] Export

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