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Dimension reduction
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#	Item
101	Consistent Estimation of Low-Dimensional Latent Structure arXiv:1510.03497v1 [stat.ML] 13 Oct 2015 in High-Dimensional Data Xiongzhi Chen Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-10-13 20:21:08 Algebra Mathematics Mathematical analysis Matrix theory Dimension reduction Linear algebra Principal component analysis Eigenvalues and eigenvectors Multivariate normal distribution Matrix Distribution
102	Orthogonal Matching Pursuit with Replacement Prateek Jain Microsoft Research India Bangalore, INDIA Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2012-09-12 18:50:23 Numerical linear algebra Mathematics Information science Dimension reduction Sparse approximation Information retrieval Locality-sensitive hashing Thresholding Matrix Sparse matrix Wavelet
103	ASYMPTOTIC PERFORMANCE ANALYSIS OF PCA ALGORITHMS BASED ON THE WEIGHTED SUBSPACE CRITERION Jean Pierre Delmas, Victor Gabillon TELECOM & Management SudParis, 91011 Evry, France D´epartement CITI, CNRS UMR 5157 ABSTRACT Add to Reading List Source URL: victorgabillon.nfshost.com Language: English - Date: 2010-03-26 12:05:12 Multivariate statistics Dimension reduction Principal component analysis
104	arXiv:1110.0107v2 [cs.CV] 5 AprLearning to relate images: Mapping units, complex cells and simultaneous eigenspaces Roland Memisevic University of Frankfurt Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-04-08 20:12:35 Machine learning Learning Artificial intelligence Estimation theory Computational neuroscience Computational statistics Dimension reduction Feature learning Mixture model Linear regression Autoencoder Gibbs sampling
105	Microsoft Word - han_giw_2008_final.doc Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2008-12-14 08:36:37 Multivariate statistics Statistics Machine learning Learning Statistical classification Dimension reduction Linear algebra Non-negative matrix factorization Support vector machine Kernel principal component analysis Principal component analysis Nonlinear dimensionality reduction
106	Going Mini: Extreme Lightweight Spam Filters D. Sculley Gordon V. Cormack Google, Inc. Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2009-05-28 18:47:16 Machine learning Artificial intelligence Learning Statistical classification Ensemble learning Regression analysis Dimension reduction Feature selection Supervised learning Support vector machine Boosting Kernel method
107	Kernel-Based Contrast Functions for Sufficient Dimension Reduction K. Fukumizu, F. Bach, & M. I. Jordan, (Annals of Statistics, 37, . Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2009-09-10 06:49:18
108	Dimension reduction via random projections Rachel Ward University of Texas at Austin May 9, 2014 Add to Reading List Source URL: www.ma.utexas.edu Language: English - Date: 2014-08-12 15:50:27
109	Dimension reduction and parameter estimation for additive index models Add to Reading List Source URL: pages.stat.wisc.edu Language: English - Date: 2013-01-03 18:16:39
110	ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/LIONbook Add to Reading List Source URL: intelligent-optimization.org Language: English - Date: 2015-10-06 09:20:21 Machine learning Model selection Learning Dimension reduction Feature selection Pattern recognition Roberto Battiti Feature Dimensionality reduction

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