LIAAD and CRACS organise conferences at the Faculty of Science
The Laboratory of Artificial Intelligence and Decision Support (LIAAD) and the Center for Research in Advanced Computing Systems (CRACS) organised the 12th International Conference on Discovery Science (DS09), simultaneously with the 20th International Conference on Algorithmic Learning Theory, which took place at the Faculty of Science of the University of Porto (FCUP), between 2 and 5 October 2009.
26th December 2009
DS09 is the continuation of the success of the DS Conference series, which constitute a forum that is open to debates and idea exchange between researchers working in the areas of scientific discoveries and innovation. The scope of the conference includes the development and analysis of methods for the automatic discovery of scientific knowledge, machine learning, intelligent analysis of data, learning theory, and their application in the discovery of knowledge.
The scientific programme was quite competitive, welcoming more than one hundred participants. The Scientific Committee was set up by 76 world renowned researchers from different Universities and Research Institutions. 92 papers written by authors from 23 different countries were submitted, covering a wide range of themes, from scientific discovery in general and learning, to new and innovative applications.
The events also included other five renowned speakers: Fernando Pereira (Google, USA), who presented some fundamental questions in the area of natural language processing in website learning; Hector Gefner (University of Pompeu Fabra, Spain), who discussed learning methods to solve planning problems; Jiawei Han (University of Illinois, USA) presented the learning challenges from heterogeneous information network mass connections; Sanjoy Dasgupta (University of California, USA) discussed the cost-benefit relation in active learning. And lastly Yishay Mansour (University of Tel Aviv, Israel) discussed generalisation matters in several domains, a challenge that is very important for machine learning in several applications.
The programme also included two tutorials: one of them was presented by Concha Bielza and by Pedro Larrañaga (Polytechnic University of Madrid, Spain), where it was possible to discuss a topic that will largely influence science and technology over the next decade – Computational Intelligence for neuroscience. In the second tutorial, presented by Howard Hamilton and Fabrice Guillet, it was possible to discuss measures that may be interesting in the domain of machine learning and systems designed to simulate or automate scientific processes.
For more information on the conference, go to: http://www.liaad.up.pt/~ds09/.
BIP, October 2009