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ICML
2007
IEEE
16 years 7 months ago
Simple, robust, scalable semi-supervised learning via expectation regularization
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
Gideon S. Mann, Andrew McCallum
ICML
2007
IEEE
16 years 7 months ago
A transductive framework of distance metric learning by spectral dimensionality reduction
Distance metric learning and nonlinear dimensionality reduction are two interesting and active topics in recent years. However, the connection between them is not thoroughly studi...
Fuxin Li, Jian Yang, Jue Wang
ICML
2004
IEEE
16 years 7 months ago
Using relative novelty to identify useful temporal abstractions in reinforcement learning
lative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning ?Ozg?ur S?im?sek ozgur@cs.umass.edu Andrew G. Barto barto@cs.umass.edu Department of Computer Scie...
Özgür Simsek, Andrew G. Barto
AIED
2009
Springer
16 years 1 months ago
Identifying strategies in user's exploratory learning behaviour for mathematical generalisation
Abstract. The nature of the activities that take place in Exploratory Learning Environments allow generating a variety of learner trajectories and makes difficult to develop a mod...
Mihaela Cocea, George D. Magoulas
CSSE
2008
IEEE
16 years 1 months ago
The Mechanisms of Learning and the Survival of New Ventures
There are two main activities in entrepreneurial process associated with the survival of new ventures: coping with the liabilities of newness and exploit competitive advantage. Ent...
Deng Yingyu, Wang Ye