Special Issue "Maximum Entropy and Its Application"
A special issue of Entropy (ISSN 1099-4300).
Deadline for manuscript submissions: closed (31 March 2014)
Dr. Dawn E. Holmes (Website)
Department of Statistics and Applied Probability, University of California, USA
Interests: Bayesian Networks; machine learning; data mining; knowledge discovery; the Foundations of Bayesianism
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed Open Access monthly journal published by MDPI.