May 2017
Beginner to intermediate
480 pages
11h 17m
English
book
Classification, Parameter Estimation and State Estimation, 2nd Edition
by Bangjun Lei, Guangzhu Xu, Ming Feng, Yaobin Zou, Ferdinand van der Heijden, Dick de Ridder, David M. J. Tax
Content preview from Classification, Parameter Estimation and State Estimation, 2nd Edition
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Index
a
- Acceptance boundary
- Adaboost
- Algorithm
- backward
- condensation
- forward
- forward–backward
- Viterbi
- Allele
- Autoregressive, moving average models
b
- Batch processing
- Bayes estimation
- Bayes' theorem
- Bayesian classification
- Bhattacharyya upper bound
- Bias
- Binary classification
- Binary measurements
- Boosting
- Branch-and-bound
c
- Chernoff bound
- Chi-square test
- Chromosome
- Classifier
- Bayes
- Euclidean distance
- least squared error
- linear
- linear discriminant function
- Mahalanobis distance
- maximum a posteriori (MAP)
- minimum distance
- minimum error rate
- nearest neighbour
- perceptron
- quadratic
- support vector
- Clustering
- average-link
- characteristics
- complete-link
- hierarchical
- K-----means
- single-link
- Completely
- controllable
- observable
- Computational complexity
- Computational issues
- Condensation algorithm (conditional density optimization)
- Condensing
- Confusion matrix
- Consistency checks
- Continuous state
- Control law
- Control vector
- Controllability matrix
- Controller
- Convolutional Neural Networks (CNNs)
- Cost
- absolute value
- function
- matrix
- quadratic
- uniform
- Covariance
- Covariance model (CVM) based estimator
- Covariance models
- Cross-validation
- Crossover
- Curve
- calibration
- fitting
d
- Datafiles
- Datasets
- Decision boundaries
- Decision function
- Degrees of freedom (Dof)
- Dendrogram
- Design set
- Detection
- Discrete
- algebraic Ricatti equation
- Kalman filter (DKF)
- Lyapunov equation
- Ricatti equation
- state
- Discriminability
- Discriminant function
- generalized linear
- linear
- Dissimilarity
- Distance ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.