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COGSR
2011
105views more  COGSR 2011»
15 years 1 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
RECOMB
2005
Springer
16 years 6 months ago
The Factor Graph Network Model for Biological Systems
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
PLDI
2012
ACM
13 years 8 months ago
Dynamic synthesis for relaxed memory models
Modern architectures implement relaxed memory models which may reorder memory operations or execute them non-atomically. Special instructions called memory fences are provided, al...
Feng Liu, Nayden Nedev, Nedyalko Prisadnikov, Mart...
FLAIRS
2008
15 years 8 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
IROS
2007
IEEE
240views Robotics» more  IROS 2007»
16 years 15 days ago
Biologically-inspired robotics vision monte-carlo localization in the outdoor environment
— We present a robot localization system using biologically-inspired vision. Our system models two extensively studied human visual capabilities: (1) extracting the “gist” of...
Christian Siagian, Laurent Itti