INDEX

 

  • AdaBoost
    • reweighting and resampling
    • AdaBoost.M1
    • AdaBoost.M2
    • face detection
    • training error bound
    • variants of
  • Arcing
  • Attribute

 

  • Bagging
    • nice
    • out-of-bag data
    • pasting small votes
  • Bayes decision theory
  • Bayesian learning
  • Bias and variance
  • Bonferroni-Dunn correction
  • Bootstrap sampling

 

  • Class
    • labels
      • soft
      • uncertain
    • prevalence
    • separability
  • Classes
    • equiprobable
    • linearly separable
    • overlapping
    • unbalanced
  • Classification
    • boundaries
    • accuracy
    • margin
    • regions
  • Classifier
    • =inducer
    • =learner
    • base
    • canonical model
    • comparison
    • complexity
    • decision tree
    • k-nearest neighbor (k-nn)
      • prototype
      • reference set
    • largest prior
    • linear discriminant (LDC)
      • regularization of
    • Naïve Bayes
    • nearest mean (NMC)
    • neural networks
    • non-metric
    • output
      • abstract level
      • correlation
      • independent
      • measurement level
      • oracle
    • output calibration
    • performance of
    • quadratic discriminant (QDC)
    • selection
    • support vector machine (SVM)
    • unstable
  • Classifier competence
    • direct k-nn estimate
    • distance-based k-nn estimate
    • map
    • potential functions
    • pre-estimated regions
  • Classifier selection
    • cascade
    • clustering and selection
    • dynamic
    • local class accuracy
    • regions of competence
  • Clustering
    • hierarchical
    • k-means
    • non-hierarchical
    • single linkage
      • chain effect
  • Combiner
    • average
    • Behavior Knowledge Space (BKS)
    • competition jury
    • decision templates
    • equivalence of
    • generalized mean
      • level of optimism
    • linear regression
    • majority vote
    • median
    • minimum/maximum
    • multinomial
    • Naïve Bayes
    • non-trainable
    • optimality
    • oracle
    • plurality ...

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