The Annals of Statistics, Vol. 36, No. 2 (Apr., 2008), pp. 489-531 (43 pages) The support vector machine (SVM) algorithm is well known to the computer learning community for its very good practical ...

We consider the problem of approximating a given element f from a Hilbert space $\scr{H}$ by means of greedy algorithms and the application of such procedures to the regression problem in statistical ...

IEMS 402: Statistical Learning VIEW ALL COURSE TIMES AND SESSIONS Description This course provides foundational and advanced concepts in statistical learning theory, essential for analyzing complex ...

The basis of social learning theory is simple: People learn by watching other people. We can learn from anyone—teachers, parents, siblings, peers, co-workers, YouTube influencers, athletes, and ...

APPM 4490/5490 Theory of Machine Learning APPM 4490/5490 Theory of Machine Learning Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers ...

In statistical learning theory, a distinction is made between "supervised learning," where the learning agent or system is given the correct answers to model, and "unsupervised learning" where the ...

ELEC_ENG 328, 428: Information Theory and Learning VIEW ALL COURSE TIMES AND SESSIONS Description Fall 2020 course will meet in Tech Auditorium This course gives students analytical tools to quantify ...

The basis of social learning theory is simple: People learn by watching other people. We can learn from anyone—teachers, parents, siblings, peers, co-workers, YouTube influencers, athletes, and ...