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FUIN
2008
108views more  FUIN 2008»
15 years 2 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
WWW
2004
ACM
16 years 4 months ago
The interoperability of learning object repositories and services: standards, implementations and lessons learned
Interoperability is one of the main issues in creating a networked system of repositories. The eduSource project in its holistic approach to building a network of learning object ...
Marek Hatala, Griff Richards, Timmy Eap, Jordan Wi...
SLSFS
2005
Springer
15 years 9 months ago
Random Projection, Margins, Kernels, and Feature-Selection
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
Avrim Blum
CHI
1997
ACM
15 years 8 months ago
The Design of a GUI Paradigm based on Tablets, Two-hands, and Transparency
An experimental GUI paradigm is presented which is based on the design goals of maximizing the amount of screen used for application data, reducing the amount that the UI diverts ...
Gordon Kurtenbach, George W. Fitzmaurice, Thomas B...
PAMI
2010
417views more  PAMI 2010»
15 years 2 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai