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» An Introduction to Transfer Learning
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IJCNN
2006
IEEE
15 years 6 months ago
Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots
— Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been...
Angelo Cangelosi, Emmanouil Hourdakis, Vadim Tikha...
88
Voted
AAAI
2008
15 years 3 months ago
Achieving Far Transfer in an Integrated Cognitive Architecture
Transfer is the ability to employ knowledge acquired in one task to improve performance in another. We study transfer in the context of the ICARUS cognitive architecture, which su...
Dan Shapiro, Tolga Könik, Paul O'Rorke
IROS
2007
IEEE
159views Robotics» more  IROS 2007»
15 years 7 months ago
Transfer of policies based on trajectory libraries
— Libraries of trajectories are a promising way of creating policies for difficult problems. However, often it is not desirable or even possible to create a new library for ever...
Martin Stolle, Hanns Tappeiner, Joel E. Chestnutt,...
97
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PET
2009
Springer
15 years 7 months ago
Privacy-Preserving Policy-Based Information Transfer
As the global society becomes more interconnected and more privacy-conscious, communication protocols must balance access control with protecting participants’ privacy. A common ...
Emiliano De Cristofaro, Stanislaw Jarecki, Jihye K...
95
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ECCV
2010
Springer
15 years 5 months ago
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...