✦ LIBER ✦

A variable selection strategy for supervised classification with continuous spectroscopic data

✍ Scribed by Ulf Indahl; Tormod Næs

Publisher: John Wiley and Sons
Year: 2004
Tongue: English
Weight: 236 KB
Volume: 18
Category: Article
ISSN: 0886-9383
DOI: 10.1002/cem.836

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A Bayesian Decision Procedure for Select

A Bayesian Decision Procedure for Selecting Prognostic Variables Associated with Survival for Data in which Censoring is Prevalent

✍ Dr. Martin D. Fraser; Dr. Alfred A. Bartolucci; Dr. William A. Smith; Dr. Karen 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 780 KB

Selecting Relevant Descriptors for Class

Selecting Relevant Descriptors for Classification by Bayesian Estimates: A Comparison with Decision Trees and Support Vector Machines Approaches for Disparate Data Sets

✍ Miriam Carbon-Mangels; Michael C. Hutter 📂 Article 📅 2011 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 499 KB

## Abstract Classification algorithms suffer from the curse of dimensionality, which leads to overfitting, particularly if the problem is over‐determined. Therefore it is of particular interest to identify the most relevant descriptors to reduce the complexity. We applied Bayesian estimates to mode