𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A sparse Bayesian approach for joint feature selection and classifier learning

✍ Scribed by Àgata Lapedriza; Santi Seguí; David Masip; Jordi Vitrià


Publisher
Springer-Verlag
Year
2008
Tongue
English
Weight
457 KB
Volume
11
Category
Article
ISSN
1433-7541

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Texture analysis for tissue discriminati
✍ Marius E. Mayerhoefer; Martin J. Breitenseher; Josef Kramer; Nicolas Aigner; Sie 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 138 KB 👁 1 views

## Abstract ## Purpose To investigate the reproducibility and transferability of texture features between MR centers, and to compare two feature selection methods and two classifiers. ## Materials and Methods Coronal T1‐weighted MR images of the knees of 63 patients, divided into three groups, w

Selecting Relevant Descriptors for Class
✍ 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