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» Quality Metrics in Learning Objects
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IQ
2007
15 years 4 months ago
A Flexible And Generic Data Quality Metamodel
: DQ metadata can be stored in a Metadata Repository (MDR). The structure of the MDR should be carefully defined to ensure a maximum amount of flexibility, generality and ease of u...
David Becker, William McMullen, Kevin Hetherington...
ICALT
2006
IEEE
15 years 9 months ago
Automatic Generation of Metadata for Learning Objects
Proper reuse of learning objects depends both on the amount and quality of attached semantic metadata such as “learning objective”', “related concept”, etc. Manually ...
Paramjeet Singh Saini, Marco Ronchetti, Diego Sona
143
Voted
PR
2010
156views more  PR 2010»
15 years 1 months ago
Semi-supervised clustering with metric learning: An adaptive kernel method
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zh...
162
Voted
CVPR
2010
IEEE
15 years 11 months ago
Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing
Visual understanding is often based on measuring similarity between observations. Learning similarities specific to a certain perception task from a set of examples has been show...
Michael Bronstein, Alexander Bronstein, Nikos Para...
112
Voted
CEC
2005
IEEE
15 years 9 months ago
Relationships between internal and external metrics in co-evolution
Co-evolutionary algorithms (CEAs) have been applied to optimization and machine learning problems with often mediocre results. One of the causes for the unfulfilled expectations i...
Elena Popovici, Kenneth A. De Jong