2006, ISBN: 9783540341383
This book constitutes the thoroughly refereed post-proceedings of the PASCAL (pattern analysis, statistical modelling and computational learning) Statistical and Optimization Perspectives… Mehr…
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2005, ISBN: 9783540341383
This book constitutes the thoroughly refereed post-proceedings of the PASCAL (pattern analysis, statistical modelling and computational learning) Statistical and Optimization Perspectives… Mehr…
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ISBN: 9783540341383
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ISBN: 9783540341383
Computer Science; Algorithm Analysis and Problem Complexity; Probability and Statistics in Computer Science; Computation by Abstract Devices; Artificial Intelligence; Image Processing and… Mehr…
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2006, ISBN: 9783540341383
This book constitutes the thoroughly refereed post-proceedings of the PASCAL (pattern analysis, statistical modelling and computational learning) Statistical and Optimization Perspectives… Mehr…
2005, ISBN: 9783540341383
This book constitutes the thoroughly refereed post-proceedings of the PASCAL (pattern analysis, statistical modelling and computational learning) Statistical and Optimization Perspectives… Mehr…
ISBN: 9783540341383
Computer Science; Algorithm Analysis and Problem Complexity; Probability and Statistics in Computer Science; Computation by Abstract Devices; Artificial Intelligence (incl. Robotics); Ima… Mehr…
ISBN: 9783540341383
Computer Science; Algorithm Analysis and Problem Complexity; Probability and Statistics in Computer Science; Computation by Abstract Devices; Artificial Intelligence; Image Processing and… Mehr…
ISBN: 9783540341383
There is currently no description available Books > Computer Science eBook, Springer Shop
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Detailangaben zum Buch - Subspace, Latent Structure and Feature Selection
EAN (ISBN-13): 9783540341383
Erscheinungsjahr: 2005
Herausgeber: Springer Berlin Heidelberg
Buch in der Datenbank seit 2015-11-28T08:21:47+01:00 (Berlin)
Detailseite zuletzt geändert am 2021-05-01T20:11:32+02:00 (Berlin)
ISBN/EAN: 9783540341383
ISBN - alternative Schreibweisen:
978-3-540-34138-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: steve taylor, john taylor, john gunn, saunders
Titel des Buches: the selection
Daten vom Verlag:
Autor/in: Craig Saunders; Marko Grobelnik; Steve Gunn; John Shawe-Taylor
Titel: Lecture Notes in Computer Science; Theoretical Computer Science and General Issues; Subspace, Latent Structure and Feature Selection - Statistical and Optimization Perspectives Workshop, SLSFS 2005 Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers
Verlag: Springer; Springer Berlin
209 Seiten
Erscheinungsjahr: 2006-05-24
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
X, 209 p.
EA; E107; eBook; Nonbooks, PBS / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Algorithmen und Datenstrukturen; Verstehen; 3D; Bayesian inference; STATISTICA; algorithm; algorithmic learning; algorithms; calculus; image reconstruction; learning; machine learning; optimisation methods; optimization; statistical analysis; statistical learning; statistical modeling; algorithm analysis and problem complexity; C; Algorithms; Probability and Statistics in Computer Science; Theory of Computation; Artificial Intelligence; Computer Vision; Automated Pattern Recognition; Computer Science; Mathematik für Informatiker; Wahrscheinlichkeitsrechnung und Statistik; Theoretische Informatik; Künstliche Intelligenz; Maschinelles Sehen, Bildverstehen; Mustererkennung; BC
Invited Contributions.- Discrete Component Analysis.- Overview and Recent Advances in Partial Least Squares.- Random Projection, Margins, Kernels, and Feature-Selection.- Some Aspects of Latent Structure Analysis.- Feature Selection for Dimensionality Reduction.- Contributed Papers.- Auxiliary Variational Information Maximization for Dimensionality Reduction.- Constructing Visual Models with a Latent Space Approach.- Is Feature Selection Still Necessary?.- Class-Specific Subspace Discriminant Analysis for High-Dimensional Data.- Incorporating Constraints and Prior Knowledge into Factorization Algorithms – An Application to 3D Recovery.- A Simple Feature Extraction for High Dimensional Image Representations.- Identifying Feature Relevance Using a Random Forest.- Generalization Bounds for Subspace Selection and Hyperbolic PCA.- Less Biased Measurement of Feature Selection Benefits.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
Neuestes ähnliches Buch:
9783540341376 Subspace Latent Structure and Feature Selection (Craig Saunders; Marko Grobelnik; Steve Gunn; John Shawe-Taylor)
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