Computational Statistics and Machine Learning

This book focuses on using sparse algorithms in statistics and machine learning. The first part addresses the L-0 norm minimization using greedy algorithms and considers the set covering machines, matching pursuit algorithms in machine learning, and random projection methods.

Aceasta carte se concentreaza pe utilizarea algoritmilor rare in statistici si invatare automata. Prima parte se refera la minimizarea normei L-0 utilizand algoritmi lacomi si ia in considerare setul de masini care acopera, potrivirea algoritmilor de urmarire in invatarea automata si metodele de proiectie aleatorie.