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 ...

Human behavior in many situations involving uncertainty and risk depends on the acquisition of information concerning event probabilities. A family of statistical models, growing out of general ...

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 ...

Object Details Author Gu, Xun Dr Contents 1. Basics in molecular evolution -- 2. Basics in bioinformatics and statistics -- 3. Functional divergence after gene duplication: statistical modeling -- 4.