Description and Topics
This issue will be devoted to conformal prediction, a novel machine learning technique
that complements predictions of ML algorithms with reliable measures of confidence.
The methods developed based on this framework produce well-calibrated confidence measures for individual examples without assuming anything more than that the data are generated independently from the same probability distribution (the i.i.d. model). Topic includes:
Theoretical analysis of conformal prediction, including performance guarantees
Applications of conformal prediction in various fields, including bioinformatics, drug discovery, medicine, natural language processing, robotics and information security
Novel conformity measures
Conformal anomaly detection
Venn prediction and other methods of multiprobability prediction
Conformal predictive distributions
On-line compression modelling
Prediction in: Machine learning, Pattern recognition, Data mining, Transfer learning
Algorithmic information theory
Big data applications
The submission system will be open around one week before the first paper comes in. When submitting your manuscript please select the article type “SI: COPA”. Please submit your manuscript before the submission deadline.
All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles.
Your paper must be strongly relevant to the topic of the special edition. Please
a) comment why this is in your covering letter
b) spend one paragraph in your introduction in the paper explaining the relevance of your work the SI topic, and spend a second paragraph explaining how it advances the state of the art in the topic of the SI.
Submission portal open date: Jan 31, 2020
Paper submission deadline: July 30, 2020
Acceptance deadline: March 30, 2021
Alexander Gammerman, Royal Holloway, University of London, firstname.lastname@example.org
Vladimir Vovk, Royal Holloway, University of London, email@example.com
Marco Cristani, University of Verona, firstname.lastname@example.org