================================================================
Call for Papers


International Workshop of the
21st Australasian Joint Conference on Artificial Intelligence (AI 08)


Ensemble Learning in Data Mining and Pattern Recognition


Auckland, New Zealand, December 1-2, 2008
================================================================


In e
nsemble learning multiple models are combined under the assumption that two or even more of them are better than only one. Decisions of multiple hypotheses are fused in order to produce an overall hypothesis combing to accurate and robust results. Various ensemble learning algorithms have been developed during the last decade, and many of them have been applied with great success to real world applications, particularly in the field of pattern recognition, e.g. visual 3D object recognition, face detection and recognition. In the context of multiple models for pattern recognition the term multiple classifier system (MCS) is typically used for such models, the most popular approaches of MCS are boosting or bagging. More recently, methods for the combination of models trained by unsupervised learning procedures have been proposed, for instance to improve the reliability and validity of the discovered cluster structures in cluster analysis applications. Another important data mining problem arises in applications where the a priori defined learning task changes over time, e.g. through additional incoming data (changes or shifts in the data set collection procedure or newly sampled data), additional features (changes in the feature extraction procedures), or new classes (changes in the task that has to be solved). Examples of such applications, are time series data, gene expressions, partially-labeled data, noisy data and online applications where the full data is not known in advance and must be collected and processed in smaller subsets, e.g. sample by sample.


--------------------------------------------------------
Important Dates
--------------------------------------------------------
Paper due: 1 November 2008
Notification date: 7 November 2008
Camera ready: 14 November 2008
Registration: 21 November 2008
Workshop: 1-2 December 2008


--------------------------------------------------------
Topics of Interest:
--------------------------------------------------------
We welcome the following areas that are related to
Ensemble Learning in Data Mining and Pattern Recognition
(but not limited to):

--------------------------------------------------------
Workshop Organizer
--------------------------------------------------------

Friedhelm Schwenker (University of Ulm, Germany)


--------------------------------------------------------
Program Committee
--------------------------------------------------------

Shigeno Abe (University of Kobe, Japan)

Monica Biancchi (University of Siena, Italy)

Nick Campbell (National Institute of Information and Communications Technologies and University of Kobe, Italy)

Neamat El Gayar (Cairo University, Egypt)

Simone Marinai (University of Florence, Italy)

Günther Palm (University of Ulm, Germany)

Lionel Prevost (Pierre et Marie Curie University Paris, France)

Edmondo Trentin (University of Siena, Italy)


--------------------------------------------------------
Submission Requirements

--------------------------------------------------------
We welcome papers presenting new original work. Submitted papers should not exceed a length of 10 pages. We prefer Springer LNAI style (for further information and style files see http://www.springer.com/computer/lncs). Papers will be reviewed on overall quality and relevance. All accepted papers will be fully published in the workshop proceedings. It is planned to publish extended versions of the accepted papers in the Springer LNAI series or in a special issue of Pattern Recognition Letters.

Submissions should be sent to the workshop organizer:

Friedhelm Schwenker (Email: friedhelm.schwenker@uni-ulm.de)

At least one author of each accepted paper is required to attend the workshop.

--------------------------------------------------------
Location
--------------------------------------------------------

This workshop will be co-located with the 21st
Australasian Joint Conference on Artificial Intelligence
(AI-08) which will be held at Quay West Hotel, Auckland,
New Zealand on December 1-2, 2008.