Towards Optimal Descriptor Subset Selection with Support Vector Machines in Classification and Regression

By Holger Fröhlich, Jörg Kurt Wegner, Andreas Zell. 2004

39 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. D. Basak
2. D. C. Patranabis
3. Srimanta Pal

In Control and Systems Engineering

1. D. Basak
2. D. C. Patranabis
3. Srimanta Pal

In Molecular Biology

1. D. Basak
2. D. C. Patranabis
3. Srimanta Pal

Citations in the corpus

• Support Vector Regression (2007, methodology): “A novel method for selecting descriptor subsets by means of Support Vector Machines in classification and regression - the Incremental Regularized Risk Minimization (IRRM) algorithm [52] has been presented.”