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 ...

This course provides foundational and advanced concepts in statistical learning theory, essential for analyzing complex data and making informed predictions. Students will delve into both asymptotic ...

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 even ...

Catalog description: Presents the underlying theory behind machine learning in proofs-based format. Answers fundamental questions about what learning means and what can be learned via formal models of ...

How does an individual neuron learn? originally appeared on Quora: the knowledge sharing network where compelling questions are answered by people with unique insights. Answer by Paul King, ...