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» Constructing informative priors using transfer learning
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WWW
2007
ACM
14 years 9 months ago
Web projections: learning from contextual subgraphs of the web
Graphical relationships among web pages have been leveraged as sources of information in methods for ranking search results. To date, specific graphical properties have been used ...
Jure Leskovec, Susan T. Dumais, Eric Horvitz
FLAIRS
2007
13 years 11 months ago
Knowledge Transfer in Deep Convolutional Neural Nets
Knowledge transfer is widely held to be a primary mechanism that enables humans to quickly learn new complex concepts when given only small training sets. In this paper, we apply ...
Steven Gutstein, Olac Fuentes, Eric Freudenthal
CAISE
2005
Springer
14 years 2 months ago
The Association Construct in Conceptual Modelling - An Analysis Using the Bunge Ontological Model
Associations are a widely used construct of object-oriented languages. However, the meaning of associations for conceptual modelling of application domains remains unclear. This pa...
Joerg Evermann
CVPR
2004
IEEE
14 years 10 months ago
Probability Models for High Dynamic Range Imaging
Methods for expanding the dynamic range of digital photographs by combining images taken at different exposures have recently received a lot of attention. Current techniques assum...
Chris Pal, Richard Szeliski, Matthew Uyttendaele, ...
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
14 years 1 months ago
Transfer learning through indirect encoding
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
Phillip Verbancsics, Kenneth O. Stanley