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» On Universal Transfer Learning
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AAAI
2011
12 years 8 months ago
Heterogeneous Transfer Learning with RBMs
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Bin Wei, Christopher Pal
ETS
2000
IEEE
138views Hardware» more  ETS 2000»
13 years 8 months ago
e-Learning Innovation through the Implementation of an Internet Supported Learning Environment
The paper provides an insight into the changing nature of the learning process through the adoption of interactive new media solutions into a traditional University Campus. The us...
David Smith, Glenn Hardaker
NIPS
2007
13 years 10 months ago
Gaussian Process Models for Link Analysis and Transfer Learning
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
Kai Yu, Wei Chu
ICMLA
2003
13 years 9 months ago
Reinforcement Learning Task Clustering
This work represents the first step towards a task library system in the reinforcement learning domain. Task libraries could be useful in speeding up the learning of new tasks th...
James L. Carroll, Todd S. Peterson, Kevin D. Seppi
CLEF
2010
Springer
13 years 9 months ago
The Wroclaw University of Technology Participation at ImageCLEF 2010 Photo Annotation Track
Abstract. In this paper we present three methods for image autoannotation used by the Wroclaw University of Technology group at ImageCLEF 2010 Photo Annotation track. All of our ex...
Michal Stanek, Oskar Maier, Halina Kwasnicka