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Dimension reduction
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#	Item
21	Semi-Supervised Dimensionality Reduction for Analyzing High-Dimensional Data with Constraints Su Yan∗∗ IBM Almaden Research Center, 650 Harry Rd San Jose, CA 95120, USA Sofien Bouaziz Add to Reading List Source URL: sofienbouaziz.com Language: English - Date: 2015-11-19 01:50:28 Algebra Mathematics Statistics Multivariate statistics Linear algebra Functional analysis Dimension reduction Geostatistics Kernel principal component analysis Nonlinear dimensionality reduction Principal component analysis Dimensionality reduction
22	DOI: j01783.x COMPUTER GRAPHICS forum Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2013-10-23 08:31:15 Algebra Mathematics Linear algebra Multivariate statistics Matrix theory Dimension reduction Interpolation Principal component analysis Eigenvalues and eigenvectors Kernel principal component analysis Eigendecomposition of a matrix Radial basis function
23	Note to other teachers and users of these slides: We would be delighted if you found this our material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own needs. Add to Reading List Source URL: mmds.org Language: English - Date: 2014-08-11 14:11:58 Search algorithms Information science Statistical classification Information retrieval Learning Machine learning Dimension reduction Hashing K-nearest neighbors algorithm Support vector machine Jeffrey Ullman Locality-sensitive hashing
24	Self-Organizing Map for Data Mining in MATLAB: the SOM Toolbox http://www.cis.hut.fi/projects/somtoolbox The SOM Toolbox is a free function library for MATLAB 5 implementing the Self-Organizing Map (SOM) algorithm which Add to Reading List Source URL: www.cis.hut.fi Language: English - Date: 2000-10-09 05:53:45 Software Application software Mathematical software Array programming languages Artificial neural networks Dimension reduction Self-organizing map Cross-platform software Free statistical software MATLAB R Generative topographic map
25	Manifold learning algorithms aim to recover the underlying lowdimensional parametrization of the data using either local or global features. It is however widely recognized that the low dimensional parametrizations will Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Machine learning Cybernetics Learning Manifold Cognition Dimension reduction Multivariate statistics Cognitive science Nonlinear dimensionality reduction
26	Source Separation as a By-Product of Regularization Sepp Hochreiter Fakultat fur Informatik Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:19:45 Statistics Multivariate statistics Artificial neural networks Applied mathematics Machine learning Dimension reduction Signal processing Independent component analysis Principal component analysis Factorial code Pattern recognition Self-organizing map
27	Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora Add to Reading List Source URL: pars.ie Language: English - Date: 2015-09-10 14:27:47 Algebra Mathematics Linear algebra Dimension reduction Machine learning Abstract algebra Vectors Random indexing Normed vector space Euclidean vector Scalar Norm
28	P-SVM Variable Selection For Discovering Dependencies Between Genetic And Brain Imaging Data Johannes Mohr, Imke Puls, Jana Wrase, Sepp Hochreiter, Andreas Heinz and Klaus Obermayer Abstract— The joint analysis of gene Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2006-04-10 09:30:24 Statistics Genetics Biology Statistical classification Population genetics Dimension reduction Molecular biology Estimation theory Feature selection Support vector machine Single-nucleotide polymorphism Regression analysis
29	Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development Diane J. Hu1 , Laurens van der Maaten1,2 , Youngmin Cho1 , Lawrence K. Saul1 , Sorin Lerner1 1 Dept. of Computer Science & Engin Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Software Probability Statistics Archive formats Dimension reduction Principal component analysis Mixture model Apache Subversion Markov chain Restricted Boltzmann machine Version control Tar
30	Neural Word Embedding as Implicit Matrix Factorization Omer Levy Department of Computer Science Bar-Ilan University Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-12-02 20:43:40 Algebra Linear algebra Mathematics Numerical linear algebra Matrix theory Singular value decomposition Dimension reduction Matrix Low-rank approximation Singular value Pointwise mutual information Factorization