Sciweavers

1859 search results - page 156 / 372
» Using Problems to Learn Service-Oriented Computing
Sort
View
CORR
2012
Springer
170views Education» more  CORR 2012»
14 years 2 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
ICTAI
2009
IEEE
16 years 27 days ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...
UCS
2004
Springer
15 years 11 months ago
Augmented Classroom: A Paper-Centric Approach for Collaborative Learning System
We developed AirTransNote, a computer-mediated classroom collaboration system. The system enables real-time note-sharing. AirTransNote manages notes written by students on paper a...
Motoki Miura, Susumu Kunifuji, Buntarou Shizuki, J...
PPSN
2000
Springer
15 years 9 months ago
Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
Márk Jelasity