Singular Component Analysis – Bücher zum Thema Singular Component Analysis finden und kaufen

Principal Component Analysis Networks and Algorithms

Xiangyu Kong, Changhua Hu, Zhansheng Duan
Springer Singapore
160.49 € · Hardcover

PCA Algorithms Principal Component Analysis Feature Extraction Generalized Feature Extraction Neural Networks Singular Component Analysis algorithm analysis and problem complexity

This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc. It also discusses in detail various a...

Machine Learning Methods

Hang Li
Springer Singapore
106.99 € · Hardcover

Machine Learning Statistical Learning Supervised Learning Unsupervised Learning Classification Regression Perceptron Model K-Nearest-Neighbors Decision Tree Logistic Regression Model Support Vector Machines EM Algorithm Hidden Markov Model K-means Clustering Singular Value Decompostition (SVD)

This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support v...

Applied Linear Algebra

Peter J. Olver, Chehrzad Shakiban
Springer International Publishing
64.19 € · Hardcover

Linear algebra Vector spaces Inner products and norms Equilibrium Eigenvalues and singular values Linear systems Linear algebra textbook Peter Olver textbook Applied linear algebra Principle component analysis Linear iterative systems Dynamical systems matrix theory

This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency ...

Principal Component Analysis Networks and Algorithms

Xiangyu Kong, Changhua Hu, Zhansheng Duan
Springer Singapore
160.49 € · Paperback

PCA Algorithms Principal Component Analysis Feature Extraction Generalized Feature Extraction Neural Networks Singular Component Analysis algorithm analysis and problem complexity

This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc. It also discusses in detail various a...

Principal Component Analysis Networks and Algorithms

Xiangyu Kong, Changhua Hu, Zhansheng Duan
Springer Singapore
149.79 € · eBook

PCA Algorithms Principal Component Analysis Feature Extraction Generalized Feature Extraction Neural Networks Singular Component Analysis algorithm analysis and problem complexity

This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc. It also discusses in detail various a...

Applied Linear Algebra

Peter J. Olver, Chehrzad Shakiban
Springer International Publishing
64.19 € · Paperback

Linear algebra Vector spaces Inner products and norms Equilibrium Eigenvalues and singular values Linear systems Linear algebra textbook Peter Olver textbook Applied linear algebra Principle component analysis Linear iterative systems Dynamical systems matrix theory

This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency ...

Machine Learning Methods

Hang Li
Springer Singapore
74.89 € · Paperback

Machine Learning Statistical Learning Supervised Learning Unsupervised Learning Classification Regression Perceptron Model K-Nearest-Neighbors Decision Tree Logistic Regression Model Support Vector Machines EM Algorithm Hidden Markov Model K-means Clustering Singular Value Decompostition (SVD)

This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support v...

Applied Linear Algebra

Peter J. Olver, Chehrzad Shakiban
Springer International Publishing
64.19 € · eBook

Linear algebra Vector spaces Inner products and norms Equilibrium Eigenvalues and singular values Linear systems Linear algebra textbook Peter Olver textbook Applied linear algebra Principle component analysis Linear iterative systems Dynamical systems matrix theory

This textbook develops the essential tools of linear algebra, with the goal of imparting technique alongside contextual understanding. Applications go hand-in-hand with theory, each reinforcing and explaining the other. This approach encourages students to develop not only the technical proficiency ...

Machine Learning Methods

Hang Li
Springer Singapore
74.89 € · eBook

Machine Learning Statistical Learning Supervised Learning Unsupervised Learning Classification Regression Perceptron Model K-Nearest-Neighbors Decision Tree Logistic Regression Model Support Vector Machines EM Algorithm Hidden Markov Model K-means Clustering Singular Value Decompostition (SVD)

This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support v...

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