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ICML
2009
IEEE
14 years 10 months ago
Uncertainty sampling and transductive experimental design for active dual supervision
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
Vikas Sindhwani, Prem Melville, Richard D. Lawrenc...
ICALT
2007
IEEE
14 years 4 months ago
The application of IMS Learning Design to Develop Compute-based Educational Game
How can game designers realize the balance of “educational function” and “entertainment” in a Computer-based Educational Game (CEG)? The concept of IMS learning design (LD...
Miaomiao Zeng, Yueliang Zhou
NIPS
2007
13 years 11 months ago
Regularized Boost for Semi-Supervised Learning
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
Ke Chen 0001, Shihai Wang
ICML
2007
IEEE
14 years 10 months ago
Learning random walks to rank nodes in graphs
Ranking nodes in graphs is of much recent interest. Edges, via the graph Laplacian, are used to encourage local smoothness of node scores in SVM-like formulations with generalizat...
Alekh Agarwal, Soumen Chakrabarti
LWA
2007
13 years 11 months ago
Context-adaptation based on Ontologies and Spreading Activation
Ontologies and spreading activation are known terms within the scope of information retrieval. In this paper we introduce SPREADR, an integrated adaptation mechanism for web appli...
Tim Hussein, Daniel Westheide, Jürgen Ziegler