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NIPS
2004
13 years 11 months ago
Brain Inspired Reinforcement Learning
Successful application of reinforcement learning algorithms often involves considerable hand-crafting of the necessary non-linear features to reduce the complexity of the value fu...
François Rivest, Yoshua Bengio, John Kalask...
ICML
2002
IEEE
14 years 11 months ago
A New Statistical Approach to Personal Name Extraction
We propose a new statistical approach to extracting personal names from a corpus. One of the key points of our approach is that it can both automatically learn the characteristics...
Zheng Chen, Liu Wenyin, Feng Zhang
ICALT
2007
IEEE
14 years 4 months ago
Replacing the Monolithic LOM: A Folksonomic Approach
IEEE-LOM is a well-known metadata standard for describing learning resources. However, many problems are associated with this kind of representation, which include the number of f...
Hend S. Al-Khalifa, Hugh C. Davis
ATAL
2005
Springer
14 years 3 months ago
Personalisation for user agents
This paper is concerned with personalisation of user agents by symbolic, on-line machine learning techniques. The application of these ideas to an infotainment agent is discussed ...
Joshua J. Cole, Matt J. Gray, John W. Lloyd, Kee S...
ICML
2009
IEEE
14 years 11 months ago
Deep transfer via second-order Markov logic
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Jesse Davis, Pedro Domingos