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» An Introduction to Transfer Learning
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CORR
2012
Springer
196views Education» more  CORR 2012»
12 years 5 months ago
PAC-Bayesian Policy Evaluation for Reinforcement Learning
Bayesian priors offer a compact yet general means of incorporating domain knowledge into many learning tasks. The correctness of the Bayesian analysis and inference, however, lar...
Mahdi Milani Fard, Joelle Pineau, Csaba Szepesv&aa...
ICML
1996
IEEE
14 years 2 months ago
Discovering Structure in Multiple Learning Tasks: The TC Algorithm
Recently, there has been an increased interest in "lifelong" machine learning methods, that transfer knowledge across multiple learning tasks. Such methods have repeated...
Sebastian Thrun, Joseph O'Sullivan
IAAI
2003
13 years 11 months ago
Teachable Agents: Learning by Teaching Environments for Science Domains
The crisis in science education and the need for innovative computer-based learning environments has prompted us to develop a multi-agent system, Betty’s Brain that implements t...
Krittaya Leelawong, Karun Viswanath, Joan M. Davis...
CVPR
2010
IEEE
14 years 6 months ago
Learning from Interpolated Images using Neural Networks for Digital Forensics
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
Yizhen Huang, Na Fan
ISNN
2007
Springer
14 years 4 months ago
A Hierarchical Self-organizing Associative Memory for Machine Learning
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
Janusz A. Starzyk, Haibo He, Yue Li