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ICWL
2007
Springer
14 years 3 months ago
Structured Blended Learning Implementation for an Open Learning Environment
Abstract. This paper proposes a structured blended learning for providing elearning strategies adopted by the Open University of Hong Kong (OUHK). The paper identified the factors ...
Jason K. Y. Chan, Ken C. K. Law
IJAR
2006
89views more  IJAR 2006»
13 years 9 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
ICML
2006
IEEE
14 years 10 months ago
Learning low-rank kernel matrices
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...
Brian Kulis, Inderjit S. Dhillon, Máty&aacu...
IUI
2000
ACM
14 years 1 months ago
APE: learning user's habits to automate repetitive tasks
The APE (Adaptive Programming Environment) project focuses on applying Machine Learning techniques to embed a software assistant into the VisualWorks Smalltalk interactive program...
Jean-David Ruvini, Christophe Dony
AAAI
2008
13 years 11 months ago
Instance-level Semisupervised Multiple Instance Learning
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Yangqing Jia, Changshui Zhang