Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data. Statistical learning theory has led to...

of statistical learning theory. One of its main applications in statistical learning theory is to provide generalization conditions for learning algorithms...

needed]. Algorithmic learning theory is different from statistical learning theory in that it does not make use of statistical assumptions and analysis...

computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and analysis of machine learning algorithms...

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn...

and Machine Learning. New York: Springer. ISBN 978-0-387-31073-2. Vapnik VN, Vapnik VN (1998). The nature of statistical learning theory (Corrected 2nd...

learning theory, a mathematical theory to analyze machine learning algorithms. Online machine learning, the process of teaching a machine. Statistical learning...

He is one of the main developers of the Vapnik–Chervonenkis theory of statistical learning and the co-inventor of the support-vector machine method and...

for learning Semantic analysis Similarity learning Sparse dictionary learning Stability (learning theory) Statistical learning theory Statistical relational...

Generalization error Regularization (mathematics) Statistical learning theory Boosting (machine learning) Cross-validation, in particular using a "validation...