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Daniela Witten
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Gertrude Mary Cox Scholarship in 2008. Her doctoral thesis, A penalized matrix decomposition, and its applications was supervised by Robert Tibshirani. She workedSquare root of a matrix (4,651 words) [view diff] no match in snippet view article find links to article
BB ≠ A. This distinct meaning is discussed in Positive definite matrix § Decomposition. In general, a matrix can have several square roots. In particularRobert Tibshirani (717 words) [view diff] exact match in snippet view article find links to article
Mathematics Genealogy Project Witten, Daniela (2010). A penalized matrix decomposition, and its applications (PDF). stanford.edu (PhD thesis). StanfordGreedy randomized adaptive search procedure (388 words) [view diff] case mismatch in snippet view article find links to article
Marcelo; Ribeiro, Celso C. (2000). "Reactive GRASP: An Application to a Matrix Decomposition Problem in TDMA Traffic Assignment". INFORMS Journal on ComputingEvolution strategy (2,054 words) [view diff] exact match in snippet view article find links to article
Limited memory CMA-ES - time–memory complexity reduction by covariance matrix decomposition 2016 Fitness inheritance CMA-ES - fitness evaluation computationalLaura Grigori (322 words) [view diff] exact match in snippet view article find links to article
A 2012 paper on communication-avoiding algorithms for parallel matrix decomposition by Grigori with James Demmel, Mark Hoemmen, and Julien Langou wonVenkat Chandrasekaran (184 words) [view diff] exact match in snippet view article find links to article
Young Researcher Prize in Continuous Optimization for his work on matrix decomposition. MIT EECS Award Recipients Professor Chandrasekaran receives youngAlgorithmic learning theory (1,149 words) [view diff] exact match in snippet view article find links to article
Simultaneous discovery of conservation laws and hidden particles with Smith matrix decomposition. Proceedings of the 21st International Joint Conference on ArtificialCartan decomposition (1,499 words) [view diff] exact match in snippet view article find links to article
Generalized matrix decomposition for Lie groups and Lie algebrasSymplectic matrix (2,558 words) [view diff] exact match in snippet view article find links to article
1201/9781003250975. ISBN 9781003250975. Xu, H. G. (July 15, 2003). "An SVD-like matrix decomposition and its applications". Linear Algebra and Its Applications. 368:Euclidean distance matrix (2,440 words) [view diff] no match in snippet view article find links to article
decompositions to find the principal square root of G, see Definite matrix#Decomposition. The statement of theorem distinguishes the first point x 1 {\displaystyleTimeline of scientific computing (2,907 words) [view diff] exact match in snippet view article find links to article
integration for differential equations. 1910 – A-M Cholesky creates a matrix decomposition scheme. Richardson extrapolation introduced. 1922 – Lewis Fry RichardsonLocality-sensitive hashing (4,024 words) [view diff] exact match in snippet view article find links to article
Rolling hash – Type of hash function Singular value decomposition – Matrix decomposition Sparse distributed memory – Mathematical model of memory WaveletSparse PCA (2,317 words) [view diff] exact match in snippet view article find links to article
have been proposed, including a regression framework, a penalized matrix decomposition framework, a convex relaxation/semidefinite programming frameworkCompact operator on Hilbert space (4,868 words) [view diff] exact match in snippet view article find links to article
Singular value decomposition#Bounded operators on Hilbert spaces – Matrix decomposition − The notion of singular values can be extended from matrices toFormal concept analysis (5,372 words) [view diff] exact match in snippet view article find links to article
"Discovery of optimal factors in binary data via a novel method of matrix decomposition" (PDF). Journal of Computer and System Sciences. 76 (1): 3–20. doi:10Polygon partition (2,579 words) [view diff] exact match in snippet view article find links to article
processing and can be used to compress bitmap images. Closely related matrix decomposition problems have been applied to radiation therapy planning, and rectangularQuasideterminant (2,088 words) [view diff] exact match in snippet view article find links to article
\left({\begin{array}{cc}A_{11}&A_{12}\\A_{21}&A_{22}\end{array}}\right)} is a block matrix decomposition of an n × n {\displaystyle n\times n} matrix A {\displaystyle A}Synthetic-aperture radar (11,255 words) [view diff] exact match in snippet view article find links to article
major approaches for a 3 × {\displaystyle \times } 3 polarimetric matrix decomposition. One is the lexicographic covariance matrix approach based on physicallyForeground detection (4,153 words) [view diff] case mismatch in snippet view article find links to article
N. Aybat, and E. Zahzah. Handbook on Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing, CRC Press, Taylor andList of datasets for machine-learning research (14,594 words) [view diff] exact match in snippet view article find links to article
ISBN 978-1-4503-0813-7. Wang, Shusen; Zhang, Zhihua (2013). "Improving CUR matrix decomposition and the Nyström approximation via adaptive sampling" (PDF). The Journal