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Critical Reading Across the Curriculum
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Critical Reading Across the Curriculum
by David M. J. Tax, Dick de Ridder, Ferdinand van der Heijden, Yaobin Zou, Ming Fen
Classification, Parameter Estimation and State Estimation, 2nd Edition
Preface
Note
Acknowledgements
About the Companion Website
1 Introduction
1.1 The Scope of the Book
1.2 Engineering
1.3 The Organization of the Book
1.4 Changes from First Edition
1.5 References
Note
2 PRTools Introduction
2.1 Motivation
2.2 Essential Concepts
2.3 PRTools Organization Structure and Implementation
2.4 Some Details about PRTools
2.5 Selected Bibliography
3 Detection and Classification
3.1 Bayesian Classification
3.2 Rejection
3.3 Detection: The Two-Class Case
3.4 Selected Bibliography
Exercises
4 Parameter Estimation
4.1 Bayesian Estimation
4.2 Performance Estimators
4.3 Data Fitting
4.4 Overview of the Family of Estimators
4.5 Selected Bibliography
Exercises
Notes
5 State Estimation
5.1 A General Framework for Online Estimation
5.2 Infinite Discrete-Time State Variables
5.3 Finite Discrete-Time State Variables
5.4 Mixed States and the Particle Filter
5.5 Genetic State Estimation
5.6 State Estimation in Practice
5.7 Selected Bibliography
Exercises
6 Supervised Learning
6.1 Training Sets
6.2 Parametric Learning
6.3 Non-parametric Learning
6.4 Adaptive Boosting – Adaboost
6.5 Convolutional Neural Networks (CNNs)
6.6 Empirical Evaluation
6.7 Selected Bibliography
Exercises
Note
7 Feature Extraction and Selection
7.1 Criteria for Selection and Extraction
7.2 Feature Selection
7.3 Linear Feature Extraction
7.4 References
Exercises
8 Unsupervised Learning
8.1 Feature Reduction
8.2 Clustering
8.3 References
Exercises
Note
9 Worked Out Examples
9.1 Example on Image Classification with PRTools
9.2 Boston Housing Classification Problem
9.3 Time-of-Flight Estimation of an Acoustic Tone Burst
9.4 Online Level Estimation in a Hydraulic System
9.5 References
A Topics Selected from Functional Analysis
A.1 Linear Spaces
A.2 Metric Spaces
A.3 Orthonormal Systems and Fourier Series
A.4 Linear Operators
A.5 Selected Bibliography
Notes
B Topics Selected from Linear Algebra and Matrix Theory
B.1 Vectors and Matrices
B.2 Convolution
B.3 Trace and Determinant
B.4 Differentiation of Vector and Matrix Functions
B.5 Diagonalization of Self-Adjoint Matrices
B.6 Singular Value Decomposition (SVD)
B.7 Selected Bibliography
Note
C Probability Theory
C.1 Probability Theory and Random Variables
C.2 Bivariate Random Variables
C.3 Random Vectors
C.4 Selected Bibliography
Notes
D Discrete-Time Dynamic Systems
D.1 Discrete-Time Dynamic Systems
D.2 Linear Systems
D.3 Linear Time-Invariant Systems
Selected Bibliography
Index
EULA
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