Principal Component Analysis Networks and Algorithms

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Principal Component Analysis Networks...

Principal Component Analysis Networks and Algorithms

Duan, Zhansheng, Hu, Changhua, Kong, Xiangyu

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سب زمرہ:

سال:

2017

اشاعت:

1st edition

ناشر کتب:

Springer;Science Press

زبان:

english

ISBN 10:

9811097380

ISBN 13:

9789811097386

فائل:

PDF, 6.69 MB

IPFS:

,

english, 2017

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Beware of he who would deny you access to information, for in his heart he dreams himself your master

— Pravin Lal

آپ کو دلچسپی ہوسکتی ہے

VIRGINIA GRAY — Principal Component Analysis Methods, Applications, and Technology

Alboukadel Kassambara — Practical Guide to Principal Component Methods in R

Chris Kottke — Jordan canonical form

Saad Y. — Numerical Methods for Large Eigenvalue Problems - 2nd Edition, SIAM, 2011, 285p

Arbenz P. — Lecture Notes on Solving Large Scale Eigenvalue Problems

Demmel J.W. — Applied Numerical Linear Algebra

Demmel J. — Applied numerical linear algebra

Z.Bai, J.Demmel, J.Dongarra, A.Ruhe and H.van der Vorst. (eds.) — Templates for the Solution of Algebraic Eigenvalue Problems: a Practical Guide

Christopher J.C. Burges — Dimension Reduction

Jane Cullum, Ralph A. Willoughby — Large scale eigenvalue problems: proceedings of the IBM Europe Institute Workshop on Large Scale Eigenvalue Problems held in Oberlech, Austria, July 8-12, 1985

Marshall C. Pease (Eds.) — Methods of Matrix Algebra

Jane Cullum, Ralph A. Willoughby — Large Scale Eigenvalue Problems: Workshop Proceedings

Youcef Saad — Numerical Methods for Large Eigenvalue Problems

Watkins D.S. — Fundamentals of matrix computations

K. I. Diamantaras, S. Y. Kung — Principal Component Neural Networks: Theory and Applications

A.R. Gourlay, G.A. Watson — Computational methods for matrix eigenproblems

Robert Todd Gregory — A collection of matrices for testing computational algorithms

James W. Demmel — Applied numerical linear algebra

Beresford N. Parlett — The symmetric eigenvalue problem

Richard B. Lehoucq, Danny C. Sorensen and C. Yang — Arpack User's Guide: Solution of Large-Scale Eigenvalue Problems With Implicityly Restorted Arnoldi Methods (Software, Environments, Tools)

G. W. Stewart — Matrix Algorithms

Zhaojun Bai, James Demmel, Jack Dongarra, Axel Ruhe, Henk van der Vorst — Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide

G. W. Stewart — Matrix algorithms. Eigensystems

Cheng Lv, Jian; Yi, Zhang; Zhou, Jiliu — Subspace Learning of Neural Networks

Haiping Lu, Konstantinos N. Plataniotis, Anastasios Venetsanopoulos — Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data

Yousef Saad — Numerical Methods for Large Eigenvalue Problems

Françoise Chatelin — Eigenvalues of Matrices

Steffen Borm; Christian Mehl — Numerical Methods for Eigenvalue Problems

Thomas Puppe — Spectral graph drawing

Branko Kovačević, Zoran Banjac, Milan Milosavljević (auth.) — Adaptive Digital Filters

P. Sanguansat — Principal Component Analysis [data, math. anal.]

Xiangyu Kong, Changhua Hu, Zhansheng Duan (auth.) — Principal Component Analysis Networks and Algorithms

Duan, Zhansheng;Hu, Changhua;Kong, Xiangyu — Principal Component Analysis Networks and Algorithms

Xiangyu Kong, Dazheng Feng — Efficient Online Learning Algorithms for Total Least Square Problems

اہم جملے