Some Notes on Applied Mathematics for Machine Learning

Some Notes on Applied Mathematics for Machine Learning

This chapter describes Lagrange multipliers and some selected subtopics from matrix analysis from a machine learning perspective. The goal is to give a detailed description of a number of mathematical constructions that are widely used in applied machine learning.

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Advanced Lectures on Machine Learning 2004, p.21-40
1. Verfasser: Burges, Christopher J. C.
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Distance Matrix
Exact sciences and technology
Lagrange Multiplier
Learning and adaptive systems
Machine Learn
Maximum Entropy
Null Space
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This chapter describes Lagrange multipliers and some selected subtopics from matrix analysis from a machine learning perspective. The goal is to give a detailed description of a number of mathematical constructions that are widely used in applied machine learning.
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-28650-9_2