On this page: Contact us | How to contribute | Masthead Contact usSend your questions and suggestions to [email protected] Furthermore, we greatly appreciate all kinds of feedback. Especially, we would like to encourage you to contribute your own materials, for instance, (links to) your algorithms, papers, teaching and course slides or web pages, your favorite web links, etc. Read below how to contribute. How to contributeYou are invited to contribute your own software, datasets, etc. to the MLnet-OiS. If you have material relevant for other researchers or users of Machine Learning techniques, do one of the three things: - Most sections allow contributing or updating via clicking the appropriate update button: or . Fill out the form and submit it. In case of software and datasets you may want to place a copy of them on our server. In this case provide the additional files by following one of the two procedures described below.
- Send your material along with a short description to [email protected].
- Place it in the ml-archive incoming directory ('ftp.mlnet.org/incoming/') AND also send mail to [email protected] saying what you placed in incoming.
As for papers, please send them in compressed PostScript (.ps.Z or .ps.gz) or Adobe PDF (.pdf) form. Please send us also a file with a plain text bibliographic entry and, if possible, a corresponding BibTeX entry with names of all authors, title, how and where the paper has been published. As for software or datasets, please send both a compressed tar- or zip-file containing your software and manuals as well as a README file describing the software and its installation. Please let us know which name to use for the subdirectory that stores your software. Please, include a Copyright clearance in your mail.
We will read these mails and install all contributions in the proper place. |