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IJCAI
1993
13 years 9 months ago
Evolutionary Learning Strategy using Bug-Based Search
We introduce a new approach to GA (Genetic Algorithms) based problem solving. Earlier GAs did not contain local search (i.e. hill climbing) mechanisms, which led to optimization d...
Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisu...

Publication
240views
12 years 6 months ago
Bayesian multitask inverse reinforcement learning
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
Christos Dimitrakakis, Constantin A. Rothkopf
SP
2006
IEEE
132views Security Privacy» more  SP 2006»
14 years 1 months ago
Towards Automatic Generation of Vulnerability-Based Signatures
In this paper we explore the problem of creating vulnerability signatures. A vulnerability signature matches all exploits of a given vulnerability, even polymorphic or metamorphic...
David Brumley, James Newsome, Dawn Xiaodong Song, ...
ECTEL
2008
Springer
13 years 9 months ago
CoChemEx: Supporting Conceptual Chemistry Learning Via Computer-Mediated Collaboration Scripts
Chemistry students, like students in other disciplines, often learn to solve problems by applying well-practiced procedures. Such an approach, however, may hinder conceptual unders...
Dimitra Tsovaltzi, Nikol Rummel, Niels Pinkwart, A...
ICALT
2007
IEEE
14 years 2 months ago
Managing Personalized and Adapted Medical Learning Objects
Medical learning objects deviates from traditional notion of learning object in that it is always in a digital form and relates to medication. They may include text, images, sound...
Juha Puustjärvi, Leena Puustjärvi