SubSpace - PDFSEARCH.IO - Document Search Engine

SubSpace
Results: 408

#	Item
211	CS 1173: MATLAB max function The max function returns the maximum value of the elements along an array dimension. B = max(A, [], dim) maximum elements Add to Reading List Source URL: www.cs.utsa.edu Language: English - Date: 2009-09-22 20:23:56 Linear algebra Dimension Vectors MATLAB Array programming Array data type Euclidean subspace Array slicing Algebra Mathematics Software
212	Beyond Standard Krylov Subspace Methods – Desirable Features for Scientific Software – Andreas Frommer Bergische Universit¨at Wuppertal Add to Reading List Source URL: www.nesc.ac.uk Language: English - Date: 2010-06-25 04:07:17 Mathematics Krylov subspace Generalized minimal residual method Iterative method Portable Extensible Toolkit for Scientific Computation Inner product space Biconjugate gradient method Arnoldi iteration Numerical linear algebra Algebra Linear algebra
213	EURASIP Journal on Advances in Signal Processing This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text (HTML) versions will be made available soon. Class-speci Add to Reading List Source URL: asp.eurasipjournals.com Language: English Tensors Symbol Tensor product Tensor Latent Dirichlet allocation Laplace operator Multilinear subspace learning Singular value decomposition Algebra Mathematics Mathematical analysis
214	A Course in Machine Learning Hal Daumé III 11 \| E NSEMBLE M ETHODS Add to Reading List Source URL: ciml.info Language: English - Date: 2014-09-24 16:08:32 Boosting Linear classifier Statistical classification Perceptron Random forest Decision stump K-nearest neighbor algorithm Margin classifier Random subspace method Machine learning Ensemble learning AdaBoost
215	Microsoft Word - CITSA2004_2.doc Add to Reading List Source URL: www.lon-capa.org Language: English - Date: 2010-01-03 16:31:23 Cybernetics Statistical classification Parts of speech Naive Bayes classifier Classifier Feature selection Genetic algorithm Random subspace method Learning classifier system Statistics Machine learning Artificial intelligence
216	Session PREDICTING STUDENT PERFORMANCE: AN APPLICATION OF DATA MINING METHODS WITH THE EDUCATIONAL WEB-BASED SYSTEM LON-CAPA Behrouz Minaei-Bidgoli 1, Deborah A. Kashy 2, Gerd Kortemeyer 3, William F. Punch 4 Abstract æ Add to Reading List Source URL: www.lon-capa.org Language: English - Date: 2010-01-03 16:37:04 Statistical classification Parts of speech Classifier Naive Bayes classifier Genetic algorithm Feature selection Perceptron Random subspace method Learning classifier system Statistics Machine learning Artificial intelligence
217	Performance and Numerical Accuracy Evaluation of Heterogeneous Multicore Systems for Krylov Orthogonal Basis Computation J. Dubois CEA/DEN/DM2S/SERMA – Université De Lille – LIFL/MAP Add to Reading List Source URL: vecpar.fe.up.pt Language: English - Date: 2010-07-02 11:05:06 Linear algebra Numerical linear algebra GPGPU Graphics hardware Floating point FLOPS Multiply–accumulate operation Kernel Krylov subspace Algebra Computer arithmetic Mathematics
218	11th International Society for Music Information Retrieval Conference (ISMIRSPARSE MULTI-LABEL LINEAR EMBEDDING WITHIN NONNEGATIVE TENSOR FACTORIZATION APPLIED TO MUSIC TAGGING Yannis Panagakis∗ Constantine Kot Add to Reading List Source URL: ismir2010.ismir.net Language: English - Date: 2014-01-23 13:05:30 Tensors Multilinear algebra Tensor Multilinear subspace learning Principal component analysis Homogeneous polynomial Outer product Rank Information retrieval Algebra Linear algebra Mathematics
219	Hilbert Spaces Joseph MuscatA revised and expanded version of these notes are now published by Springer.) Add to Reading List Source URL: staff.um.edu.mt Language: English - Date: 2014-05-27 04:52:52 Linear algebra Operator theory Functional analysis Inner product space Hilbert space Projection Vector space Linear subspace Banach space Algebra Mathematics Mathematical analysis
220	IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 62, NO. 4, FEBRUARY 15, Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds Add to Reading List Source URL: web.media.mit.edu Language: English - Date: 2014-01-23 05:01:21 Multivariate statistics Data analysis Cluster analysis Graph Spectral graph theory Adjacency matrix Principal component analysis Consensus clustering Clustering high-dimensional data Statistics Mathematics Graph theory

UPDATE