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» Efficient Learning of Relational Object Class Models
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ICCBR
2003
Springer
15 years 8 months ago
Case Mining from Large Databases
Abstract. This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based r...
Qiang Yang, Hong Cheng
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 3 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
CONEXT
2007
ACM
15 years 7 months ago
Improving service differentiation in IP networks through dual topology routing
The convergence on IP of a wide variety of traffic types has strengthened the need for service differentiation. Service differentiation relies on two equally important components:...
Kin Wah Kwong, Roch Guérin, Anees Shaikh, S...
152
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ML
2012
ACM
385views Machine Learning» more  ML 2012»
13 years 11 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
CORR
2010
Springer
101views Education» more  CORR 2010»
15 years 3 months ago
Model-Driven Constraint Programming
Constraint programming can definitely be seen as a model-driven paradigm. The users write programs for modeling problems. These programs are mapped to executable models to calcula...
Raphaël Chenouard, Laurent Granvilliers, Rica...