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» On the cognitive process of human problem solving
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COGSR
2011
105views more  COGSR 2011»
14 years 4 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
ICCSA
2005
Springer
15 years 3 months ago
Realistic Skeleton Driven Skin Deformation
Abstract. Skeleton driven animation is a popular method for the animation of deformable human and creature characters. The main advantage is its computational performance. However ...
X. S. Yang, Jian J. Zhang
ACHI
2009
IEEE
15 years 4 months ago
Ground Truth Verification Tool (GTVT) for Video Surveillance Systems
— As cameras and storage devices have become cheaper, the number of video surveillance systems has also increased. Video surveillance was (and mostly is) done by human operators ...
Amol Ambardekar, Mircea Nicolescu, Sergiu Dascalu
NIPS
2003
14 years 11 months ago
Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression
Nonlinear filtering can solve very complex problems, but typically involve very time consuming calculations. Here we show that for filters that are constructed as a RBF network ...
Roland Vollgraf, Michael Scholz, Ian A. Meinertzha...
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 3 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...