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NIPS
2007
14 years 11 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
COLT
2004
Springer
15 years 1 months ago
Model Selection by Bootstrap Penalization for Classification
We consider the binary classification problem. Given an i.i.d. sample drawn from the distribution of an X
Magalie Fromont
73
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GECCO
2000
Springer
108views Optimization» more  GECCO 2000»
15 years 1 months ago
A Multi-Adaptive Agent Model of Generator Bidding in the UK Market in Electricity
ected Abstracts for the First International Workshop on Learning Classifier System (IWLCS92), 1992. October 6
Anthony J. Bagnall
IJCNN
2006
IEEE
15 years 4 months ago
Alleviating Catastrophic Forgetting via Multi-Objective Learning
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...
Yaochu Jin, Bernhard Sendhoff
ICALT
2009
IEEE
15 years 2 months ago
Supporting Teacher Intervention in Unpredictable Learning Environments
Modern teaching tools, such as educational robotics, require new learning environments. The teacher especially needs to be supported in novel ways. Conflative learning environment...
Ilkka Jormanainen, Antony Harfield, Erkki Sutinen