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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