-dataset
100Replacement
101Majority Voting
102Difficult instances
103probably approximately correct
104Ensemble settings
105 Internal
106Different Error Cost(DEC)
107Negative misclassification
108Positive misclassification
109skew
110Sub-optimal
111Soft margin objective function
112Dual Lagrangian
113One class learning
114Rebalancing
115Training imbalanced dataset
116Decision boundary
117Bias
118Kernel modification method
119 Associated kernel function
120Class boundary alignment
121Kernel target alignment
122Margin calibration
123Kernel-based classifiers
124orthogonal forward selection (OFS)
125regularized orthogonal weighted least square
126kernel neural gas
127Adaboost relevance vector machine (RVM)
128Active learning
129Hybrid kernel machine ensemble
130 Least Square Support Vector Machine
131Fuzzy Support Vector Machine
132Fuzzy SVMs for class imbalance learning (FSVM-CIL)
133Robust
134 Class Imbalanced Learning(CIL) methods
135Decaying function
136steepness of the decay
137Preestimated hyperplane
138Common spherical region
139Actual hyperplane
140Functional margin
141 Fast Fourier Transform
142 Fast Fourier Transform
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