Matlab/Octave implementations of feature selection methods for machine learning applications, suited also for higher dimensionalities.
Citation for all methods:
J. Pohjalainen, O. Räsänen and S. Kadioglu,
“Feature Selection Methods and Their Combinations in High-Dimensional Classification of Speaker Likability, Intelligibility and Personality Traits”,
Computer Speech and Language, 29(1), pp. 145-171, 2015
For RSFS specifically:
O. Räsänen, J. Pohjalainen, “Random subset feature selection in automatic recognition of developmental disorders, affective states, and level of conflict from speech”, Proc. Interspeech, Lyon, France, 2013
The code is also available in GitHub or via this page.