Dear Editor,
We are happy to present our latest article for review to the Journal of Machine
Learning Research.
This article summarizes a line of research that lasts already for several years
through an intense collaboration between three teams in Belgium, Poland and
Germany, respectively. Parts of this work have been previously published in
conference papers (NIPS 2011 and ICML 2013). The presented algorithms also
served as key elements for our submission and second place in the JRS 2012 data
mining competition (see Section 7.3). The current paper summarizes those
findings in a unifying manuscript that contains a much more detailed theoretical
analysis and novel experimental results. A basic summary of the core
conclusions was presented during our tutorial at ICML 2013.
As far as we know, we don’t have conflicts of interest with any member of the
editorial board of JMLR. We can suggest Charles Elkan as an appropriate editor
for handling our paper, since he published on multi-label classification before,
using algorithms as those considered in this paper (i.e., probabilistic classifier
chains). John Langford also worked before on multi-label classification, and he
would be qualified, too. Ingo Steinwart or Andreas Christmann might be the
right editors to review some of our theoretical results.
We are looking forward to receiving any feedback on our submission.
Kind regards,
The authors