Multi-label Ferns for Efficient Recognition of Musical Instruments in   Recordings
  In this paper we introduce multi-label ferns, and apply this technique for automatic classification of musical instruments in audio recordings. We compare the performance of our proposed method to a set of binary random ferns, using jazz recordings as input data. Our main result is obtaining much faster classification and higher F-score. We also achieve substantial reduction of the model size. 
Miron B. Kursa, Alicja A. Wieczorkowska
cs.LG cs.SD