Relevant feature identification methods seek to define a subset of molecules that differentiate the samples. This work describes LIKNON, a specific ...

Relevant feature identification methods seek to define a subset of molecules that differentiate the samples. This work describes LIKNON, a specific ...

This work examines computational, software and practical issues required to realize nominal Liknon, summarizes results from its application to five real ...

Simultaneous classification and relevant feature identification in high-dimensional spaces: Application to molecular profiling data. C. Bhattacharyya, L. R. ...

Oct 10, 2002 · Simultaneous relevant feature identification and classification in high-dimensional spaces: application to molecular profiling data.

Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling data.

Request PDF | Simultaneous classification and relevant feature identification in high-dimensional spaces: Application to molecular profiling data ...

Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling data. C. Bhattacharyyaa;e ...

Simultaneous relevant feature identification and classification in high-dimensional spaces: application to molecular profiling data. Submitted, Signal ...

Bibliographic details on Simultaneous classification and relevant feature identification in high-dimensional spaces: application to molecular profiling ...