The 12th Workshop on Information-Based Induction Sciences (IBIS 2009)

Supported by:　

• Math-for-industry, GCOE, Kyushu University.
• IEICE IBIS-TG

Assented by:Japanese Society of Applied Mathematics, ISCIE, IPSJ, SITA, JSAI, IEICE IT, IEICE SIG-AI, IEICE COMP, IEICE NC, IEICE PRMU, JSIAM, The Behaviormetric Society of Japan, JSS, RSJ, SICE, IEEE Committee Members of IT Society Japan Chapter, and IEEE Computational Intelligence Society Japan Chapter.

About IBIS 2009

The Twelfth Workshop on Information-Based Induction Sciences (IBIS 2009) will be held in Fukuoka, Japan, on October 19 through 21, 2009.

The IBIS Workshop is well established as a top-ranked research conference in machine learning in Japan. Since 1998 the IBIS Workshop has been a leading interdisciplinary forum where researchers and practitioners in various machine-learning-related disciplines can collaborate, including information theory, statistical science, statistical physics, computer science, data mining, and services sciences.

In the last decade of IBIS Workshops, we have seen drastic changes in many aspects of society: Massive information exchange through the Internet has become an essential part of the social infrastructure, and machine learning is receiving increasing attention from everyone as a basic and essential tool to extract useful knowledge from an enormous amount of data of the Internet age, just as quantum physics is the basis of semiconductor engineering.

The IBIS Workshop this year aims at being:

• International in promoting world-class research presentations from the Japanese Community
• Open in encouraging new research attempts from new contributors and research domains
• Sound in supporting innovative research that matters in society while balancing theoretical and practical research work

Besides the technical program that covers all aspects of machine learning and related research, the IBIS Workshop this year will feature seven organized sessions, where top-notch researchers talk about the latest trends and activities in various research domains such as financial risk management, speech and sound recognition, bioinformatics, network theories, machine learning of ranking, pattern recognition, and real-world applications in computer vision and plant monitoring.

To encourage discussions about ongoing studies also under submission to other conferences and journals, this year’s IBIS Workshop solicits high-quality technical presentations on two tracks. The Technical Track accepts 4-8 page technical papers through a review process by the Program Committee, while submissions to the Discussion Track need only an abstract in the form of presentation slides up to 2 pages. The accepted papers in the Technical Track will be electronically published as IBIS 2009 Technical Reports. For the details, see our web site.

We hope the IBIS Workshop this year inspires your research by providing a high-quality technical program and well organized sessions with top-notch researchers, while also serving as an opportunity for networking between researchers from different areas.