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AIEDAM
1998
87views more  AIEDAM 1998»
14 years 10 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh
NIPS
2004
15 years 14 days ago
Boosting on Manifolds: Adaptive Regularization of Base Classifiers
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Balázs Kégl, Ligen Wang
TIP
2010
155views more  TIP 2010»
14 years 9 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
ICALT
2005
IEEE
15 years 4 months ago
Application of Instant Message System in Cooperative Learning
The popularity of instant messaging (IM) system creates a new way for human communication. Along with this trend, IM system is broadly applied in cooperative learning. There isnâ€...
Shih-chen Hsieh, Yu-chen Hsu
MTSR
2007
Springer
15 years 5 months ago
Metadata for describing learning scenarios under the European Higher Education Area paradigm
In this paper we identify the requirements for creating formal descriptions of learning scenarios designed under the European Higher Education Area paradigm, using competences and ...
Ana-Elena Guerrero, Julià Minguillón...