Convergence Rates for Empirical Estimation of Binary Classification Bounds.
Salimeh Yasaei SekehMorteza NoshadKevin R. MoonAlfred O. Hero IIIPublished in: CoRR (2018)
Keyphrases
- binary classification
- convergence rate
- bipartite ranking
- gaussian kernels
- multi class
- uniform convergence
- support vector
- learning problems
- learning rate
- cost sensitive
- generalization error
- support vector machine
- upper bound
- number of iterations required
- prediction accuracy
- multi label
- primal dual
- class imbalance
- ensemble methods
- reinforcement learning
- pairwise
- machine learning
- lower bound
- density estimation
- multiple kernel learning
- reproducing kernel hilbert space
- kernel function
- feature space
- neural network
- low memory requirements