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Higher-order singular value decomposition
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1	S TATC MSC 35425: T OPICS IN S TATISTICAL M ACHINE L EARNING Syllabus, Spring 2016 Topics in Statistical Machine Learning is a second course in machine learning, with students assumed to have previous exposure t Add to Reading List Source URL: galton.uchicago.edu Language: English - Date: 2016-04-13 06:56:12 Statistics Machine learning Artificial intelligence Learning Statistical models Language modeling Word embedding Pattern recognition Bayesian inference Mixture model Artificial neural network Higher-order singular value decomposition
2	Data Mining and Knowledge Discovery manuscript No. (will be inserted by the editor) Clustering Boolean Tensors Saskia Metzler · Pauli Miettinen Add to Reading List Source URL: people.mpi-inf.mpg.de Language: English - Date: 2015-06-15 12:06:11 Algebra Mathematics Multilinear algebra Binary operations Linear algebra Multivariate statistics Cluster analysis Tensor Higher-order singular value decomposition Outer product Matrix Boolean algebra
3	Distributed Community Detection on Edge-labeled Graphs using Spark San-Chuan Hung Miguel Araujo Add to Reading List Source URL: www.mlgworkshop.org Language: English - Date: 2016-08-14 01:22:56 Graph theory Mathematics Multilinear algebra Tensors Matroid theory Multivariate statistics Higher-order singular value decomposition Ear decomposition Graph Line graph Non-negative matrix factorization Bridge
4	GEOMETRY OF FEASIBLE SPACES OF TENSORS A Dissertation by YANG QI Add to Reading List Source URL: www.math.tamu.edu Language: English - Date: 2013-07-24 16:18:51 Algebra Mathematics Tensors Binary operations Multilinear algebra Linear algebra Tensor Symmetric tensor Segre embedding Rank Higher-order singular value decomposition
5	JMLR: Workshop and Conference Proceedings vol 40:1–51, 2015 Tensor principal component analysis via sum-of-squares proofs Sam Hopkins Jonathan Shi David Steurer Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Algebra Mathematics Linear algebra Multivariate statistics Matrix theory Tensors Real algebraic geometry Non-negative matrix factorization Matrix Higher-order singular value decomposition Eigenvalues and eigenvectors Principal component analysis
6	JMLR: Workshop and Conference Proceedings vol 40:1–77, 2015 Learning Overcomplete Latent Variable Models through Tensor Methods Animashree Anandkumar Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Algebra Mathematics Machine learning Linear algebra Statistical models Signal processing Multivariate statistics Higher-order singular value decomposition Independent component analysis Tensor Feature learning Unsupervised learning
7	JMLR: Workshop and Conference Proceedings vol 40:1–46, 2015 Escaping From Saddle Points – Online Stochastic Gradient for Tensor Decomposition Rong Ge Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Mathematical analysis Numerical analysis Mathematical optimization Multivariable calculus Convex analysis Stochastic optimization Convex optimization Stochastic gradient descent Hessian matrix Gradient descent Lagrange multiplier Higher-order singular value decomposition
8	Algorithms for Regular Solutions of Higher-Order Linear Differential Systems Carole El Bacha (joint work with M. Barkatou and T. Cluzeau) University of Limoges ; CNRS ; XLIM ; UMR 6172 Add to Reading List Source URL: issac2009.kias.re.kr Language: English - Date: 2009-07-30 00:31:45 Matrix theory Linear algebra Algebra Eigenvalues and eigenvectors Singular value decomposition Matrix Polynomial Linear differential equation
9	CS168: The Modern Algorithmic Toolbox Lecture #10: Tensors, and Low-Rank Tensor Recovery Tim Roughgarden & Gregory Valiant April 27, 2016 Last lecture discussed singular value decomposition (SVD), and we saw how such dec Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:43 Linear algebra Matrix theory Matrices Binary operations Numerical linear algebra Tensor Rank Higher-order singular value decomposition Singular value decomposition Matrix Outer product Eigenvalues and eigenvectors