Convergence Rates for Empirical Estimation of Binary Classification Bounds.
Salimeh Yasaei SekehMorteza NoshadKevin R. MoonAlfred O. Hero IIIPublished in: Entropy (2019)
Keyphrases
- binary classification
- convergence rate
- bipartite ranking
- gaussian kernels
- multi class
- uniform convergence
- support vector
- learning problems
- cost sensitive
- generalization error
- multi label
- learning rate
- prediction accuracy
- support vector machine
- number of iterations required
- upper bound
- primal dual
- machine learning
- ensemble methods
- class imbalance
- learning algorithm
- supervised learning
- reinforcement learning
- reproducing kernel hilbert space
- neural network
- cross validation
- lower bound
- density estimation
- text mining
- worst case