𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Machine Learning for Information Extraction in Informal Domains

✍ Scribed by Dayne Freitag

Book ID
110252095
Publisher
Springer
Year
2000
Tongue
English
Weight
170 KB
Volume
39
Category
Article
ISSN
0885-6125

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

[Information Science and Statistics] Inf
[Information Science and Statistics] Information Theoretic Learning || Information Theory, Machine Learning, and Reproducing Kernel Hilbert Spaces
✍ Principe, Jose C. πŸ“‚ Article πŸ“… 2010 πŸ› Springer New York 🌐 English βš– 844 KB

This book is the first cohesive treatment of ITL algorithms to adapt linear or nonlinear learning machines both in supervised and unsupervised paradigms. It compares the performance of ITL algorithms with the second order counterparts in many applications.