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» Using Learning Curves to Mine Student Models
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134
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JMLR
2010
119views more  JMLR 2010»
14 years 9 months ago
The Coding Divergence for Measuring the Complexity of Separating Two Sets
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
Mahito Sugiyama, Akihiro Yamamoto
129
Voted
CVPR
2010
IEEE
15 years 10 months ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 7 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 3 months ago
Camouflaged fraud detection in domains with complex relationships
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Sankar Virdhagriswaran, Gordon Dakin
SIGCSE
2009
ACM
139views Education» more  SIGCSE 2009»
16 years 3 months ago
Abstraction and extensibility in digital logic simulation software
ion and Extensibility in Digital Logic Simulation Software Richard M. Salter and John L. Donaldson Computer Science Department Oberlin College Oberlin, OH 44074 rms@cs.oberlin.edu,...
Richard M. Salter, John L. Donaldson