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» Learning Compressible Models
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ATAL
2008
Springer
15 years 7 months ago
Autonomous transfer for reinforcement learning
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
Matthew E. Taylor, Gregory Kuhlmann, Peter Stone
ARTMED
2006
75views more  ARTMED 2006»
15 years 5 months ago
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
Martin Atzmüller, Joachim Baumeister, Frank P...
HIS
2009
15 years 2 months ago
Applying Concept Mapping on the Influent Learning in Virtual Classroom
The diversity of learning abilities between learners in the virtual classroom is wider than those in traditional classroom. It is difficult to prepare a suitable teaching material ...
Rong-Chung Chen, Shu-Chen Liu
IMC
2005
ACM
15 years 10 months ago
An Information-theoretic Approach to Network Monitoring and Measurement
Network engineers and operators are faced with a number of challenges that arise in the context of network monitoring and measurement. These include: i) how much information is in...
Yong Liu, Donald F. Towsley, Tao Ye, Jean-Chrysost...
ICDAR
2007
IEEE
15 years 11 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...