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COGSR
2011
105views more  COGSR 2011»
14 years 11 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

Publication
159views
14 years 3 months ago
Evaluating the Effectiveness of Board Game Usage to Teach GSE Dynamics
When preparing students for an industrial or academic career in software engineering, educational institutions need to address the globally distributed character of the software en...
Kevin Dullemond, Ben van Gameren, Rini van Solinge...
PC
2010
100views Management» more  PC 2010»
14 years 11 months ago
Analysis of the solution phase of a parallel multifrontal approach
We study the forward and backward substitution phases of a sparse multifrontal factorization. These phases are often neglected in papers on sparse direct factorization but, in man...
Patrick Amestoy, Iain S. Duff, Abdou Guermouche, T...
IROS
2006
IEEE
93views Robotics» more  IROS 2006»
15 years 10 months ago
Jacobian Learning Methods for Tasks Sequencing in Visual Servoing
Abstract— In this paper, the coupling between Jacobian learning and task sequencing through the redundancy approach is studied. It is well known that visual servoing is robust to...
Nicolas Mansard, Manuel Lopes, José Santos-...
JCP
2008
167views more  JCP 2008»
15 years 4 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao