| Betreff: | [WI] CfP: Workshop Interactive Adaptive Learning @ ECML PKDD 2017, September, Skopje |
|---|---|
| Datum: | Thu, 11 May 2017 20:08:55 +0200 |
| Von: | Georg Krempl <georg.krempl@iti.cs.uni-magdeburg.de> |
| Antwort an: | Georg Krempl <georg.krempl@iti.cs.uni-magdeburg.de> |
| Organisation: | Otto von Guericke University Magdeburg |
| An: | wi@lists.uni-karlsruhe.de, ak-kd-list@lists.uni-karlsruhe.de |
We organize a workshop & tutorial to be held at ECML PKDD 2017 in September in Skopje on Interactive Adaptive Learning link : https://mandos.ies.uni-kassel.de/ial2017 This workshop aims at discussing techniques and approaches for optimising the whole learning process, including the interaction with human supervisors, processing systems, and includes adaptive, active, semi-supervised, and transfer learning techniques, and combinations thereof in interactive and adaptive machine learning systems. Our objective is to bridge the communities researching and developing these techniques and systems in machine learning and data mining. Therefore we welcome contributions that present a novel problem setting, propose a novel approach, or report experience with the practical deployment of such a system and raise unsolved questions to the research community. In particular, we welcome contributions that address aspects including, but not limited to: (*) Novel Techniques for Active, Semi-Supervised, Transfer Learning - methods for big, evolving, or streaming data, - methods for recent complex model structures such as DL neural networks - methods for interacting with imperfect or multiple oracles, e.g. learning from crowds, - methods for incorporating domain knowledge and constraints, - methods for timing the interaction and for combining different types of information, - online and ensemble methods for evolving models and systems, with specific switching and fusion techniques, (*) Innovative Use and Applications of Active, Semi-Supervised, Transfer Learning - for filtering, forgetting, resampling, - for active class or feature selection, e.g. from multi-modal data, - for detection of change, outliers, frauds, or attacks, - new interactive learning protocols and application scenarios, e.g., brain-computer interfaces, crowdsourcing, ... - in application in data-intensive science, - in applications with real-world deployment, (*) Techniques for Combined Interactive Adaptive Learning - methods combining adaptive, active, semi-supervised, or transfer learning techniques, - cost-aware methods and methods for estimating the impact of employing additional resources, such as data or processing capacities, on the learning progress, - methodologies for the evaluation of such techniques, and comparative studies, - methods for automating the control of an interactive adaptive learning process. We welcome submissions of original regular (max. 10 pages) and short papers (up to 2 pages). Each paper will be single-blinded peer-reviewed, and upon selection be presented & discussed at the workshop. For short papers, works-in-progress or industrial experiences are welcome. At least one author of each accepted paper should be registered to the conference. We intend to publish the workshop proceedings within the open-access, indexed CEUR Workshop Proceedings series. Please format your papers according to the LNCS format and submit them via EasyChair: https://easychair.org/conferences/?conf=ial2017 Important Dates: Paper Submission: Monday, July 3, 2017 Author Notification: Monday, July 24, 2017 Camera Ready: Monday, August 7, 2017 Workshop & Tutorial: Monday, September 18, 2017 We look forward to your contributions, the organisers, Vincent Lemaire, Robi Polikar, Daniel Kottke, Bernhard Sick, Adrian Calma, and Georg Krempl. -- Mailing-Liste: wi@lists.kit.edu Administrator: wi-request@lists.kit.edu Konfiguration: https://www.lists.kit.edu/wws/info/wi