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PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
16 years 19 days ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
IJCNN
2000
IEEE
15 years 10 months ago
Bias Learning, Knowledge Sharing
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
Joumana Ghosn, Yoshua Bengio
ICML
2010
IEEE
15 years 7 months ago
Improved Local Coordinate Coding using Local Tangents
Local Coordinate Coding (LCC), introduced in (Yu et al., 2009), is a high dimensional nonlinear learning method that explicitly takes advantage of the geometric structure of the d...
Kai Yu, Tong Zhang
ICALT
2005
IEEE
15 years 11 months ago
Java Learning Object Ontology
This paper presents an ontology, the Java Learning Object Ontology - JLOO, for organizing learning objects of Java courses in an adaptive e-learning environment. The classificatio...
Ming-Che Lee, Ding Yen Ye, Tzone I. Wang
HCI
2009
15 years 3 months ago
Adaptive Learning via Social Cognitive Theory and Digital Cultural Ecosystems
This paper will look at the human predisposition to oral tradition and its effectiveness as a learning tool to convey mission-critical information. After exploring the effectivenes...
Joseph Juhnke, Adam R. Kallish