IDEAL 2013 Special Session on Combining Learning and Optimisation for Intelligent Data Engineering



Call for Papers


Aims & Scope


Techniques of Machine Learning and Optimisation are workhorses in intelligent data engineering and in today's emerging data science. Finding ways to combine learning with optimisation has tremendous potential to provide powerful computational intelligence techniques. In fact, optimisation is a key in many machine learning and data mining algorithms; at the same time optimisation methods that incorporate some form of learning strategy have an added level of sophistication and ability to explore large search spaces.

This special session aims at exploring new synergies and multi-disciplinary perspectives between optimisation and machine learning in the context of intelligent data engineering and large scale data mining problems.



Topics of interest include, but are not limited to the following:
- Fundamentals, hypotheses, and new challenges in data science
- Model building optimisation algorithms, estimation of distribution algorithms
- Dimensionality reduction for large scale learning and optimisation
- New ways to hybridise learning and optimisation
- Compressive representations and randomisation for large scale problems
- Practical systems and real world applications of hybrid optimisation and machine learning methods



Accepted Papers

Frank-Michael Schleif, Xibin Zhu and Barbara Hammer

Sparse prototype representation by core sets


Edgar Reehuis, Markus Olhofer, Bernhard Sendhoff and Thomas Back

Learning-guided Exploration in Airfoil Optimization


Lili Zhuang, Ke Tang and Yaochu Jin

Metamodel Assisted Mixed-Integer Evolution Strategies based on Kendall Rank Correlation Coefficient


Sakinah Ali Pitchay and Ata Kaban

Estimation of the Regularisation Parameter in Huber-MRF


Jakramate Bootkrajang and Ata Kaban

Learning a Label-noise Robust Logistic Regression: Analysis and Experiments



Submission Instructions


High quality original submissions are solicited for presentation at the Special Session. Papers should not exceed 8 pages and must be formatting instructions of the main conference. All submissions will be peer-reviewed, and all accepted papers will be included in IDEAL 2013 Proceedings published by Springer in the LNCS series.


Important Dates


Submission deadline: 17 June 2013 (extended!).

Notification of acceptance: 5 July 2013.

Camera-ready copy & early registration: 26 July 2013.

Conference: 20-23 October 2013.



Programme Committee

Peter Andras

Jakramate Bootkrajang

Weishan Dong

Ata Kaban

Souham Meshoul

Huseyn Seker

Jianyong Sun

<more to come>


Session Chairs

Ata Kaban

Jakramate Bootkrajang

School of Computer Science; The University of Birmingham, UK