Statistical learning theory

• Empirical risk minimization
• Heaviside step function
• L1-norm
• L2-norm
• Lp space
• Ohm's Law
• Online machine learning
• Ordinary Least Squares regression
• Proximal gradient methods for learning
• Regularization (mathematics)
• Reproducing kernel Hilbert spaces
• Statistical classification
• Tikhonov regularization
• bioinformatics
• computer vision
• empirical risk
• empirical risk minimization
• expected risk
• facial recognition system
• functional analysis
• indicator function
• linear regression
• loss function
• machine learning
• overfitting
• probability distribution
• regression analysis
• reinforcement learning
• speech recognition
• statistics
• supervised learning
• training set
• unsupervised learning
• vector space