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The 6th Symposium on Conformal and Probabilistic Prediction with
Applications (COPA 2017)
June 14-16, 2017
Stockholm, Sweden
http://clrc.rhul.ac.uk/copa2017/
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THEME
Quantifying the uncertainty of the predictions produced by
classification and regression techniques is an important problem in the
field of Machine Learning. Conformal Prediction is a recently developed
framework for complementing the predictions of Machine Learning
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 by the same probability distribution (i.i.d.).
Since its development the framework has been combined with many popular
techniques, such as Support Vector Machines, k-Nearest Neighbours,
Neural Networks, Ridge Regression etc., and has been successfully
applied to many challenging real world problems, such as the early
detection of ovarian cancer, the classification of leukaemia subtypes,
the diagnosis of acute abdominal pain, the assessment of stroke risk,
the recognition of hypoxia in electroencephalograms (EEGs), the
prediction of plant promoters, the prediction of network traffic demand,
the estimation of effort for software projects and the back calculation
of non-linear pavement layer moduli. The framework has also been
extended to additional problem settings such as semi-supervised
learning, anomaly detection, feature selection, outlier detection,
change detection in streams and active learning. The aim of this
symposium is to serve as a forum for the presentation of new and ongoing
work and the exchange of ideas between researchers on any aspect of
Conformal Prediction and its applications.
The symposium welcomes submissions introducing further developments and
extensions of the Conformal Prediction framework and describing its
application to interesting problems of any field.
TOPICS
The topics of the symposium include, but are not limited to:
- Non-conformity measures
- Venn prediction
- On-line compression modeling
- Theoretical analysis of Conformal Prediction techniques
- Applications/usages of Conformal Prediction
- Machine learning
- Pattern recognition
- Regression estimation
- Density estimation
- Algorithmic information theory
- Measures of confidence
- Applications in Bioinformatics and Medicine
- Applications in Information Security and Homeland Security
- Data mining and visualization
- Big data applications
- Data analysis applications in science and engineering
- Uncertainty quantification
SPECIAL SESSION
Novel Directions of Applying Machine Learning in Chemoinformatics
IMPORTANT DATES
- Paper Submission Deadline: February 10th, 2017
- Author Notifications: April 10th, 2017
- Camera-ready Submission Deadline: May 10th, 2017
- Symposium Dates: June 14th-16th, 2017
SUBMISSIONS
Authors are invited to submit original, English-language research
contributions or experience reports. Papers should be no longer than 20
pages formatted according to the well-known JMLR (Journal of Machine
Learning Research) style. The LaTeX package for the style is available
here. All aspects of the submission and notification process will be
handled online via the EasyChair Conference System at:
https://easychair.org/conferences/?conf=copa2017
PUBLICATION
Submitted papers will be refereed for quality, correctness, originality,
and relevance. Notification and reviews will be communicated via email.
All accepted papers will be presented at the conference and published by
JMLR Workshop and Conference Proceedings (volume 60).
Accepted papers in the special session “Machine Learning in
Cheminfomatics” will be invited to submit an extended version of their
manuscripts to a special issue in Journal of Cheminformatics.
General Chairs
- Alex Gammerman (UK)
- Vladimir Vapnik, AI Research Facebook, Columbia University USA
and Royal Holloway, University of London, UK
- Volodya Vovk (UK)
Local Organising Committee
- Lars Carlsson - Sweden
- Ola Engkvist - Sweden
- Martin Eklund - Sweden
- Ernst Ahlberg Helgee - Sweden
- Ulf Norinder - Sweden
- Ola Spjuth - Sweden
Programme Committee Chairs
- Zhiyuan Luo - UK
- Harris Papadopoulos - Cyprus
SPONSORS
- Yandex
- AstraZeneca
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