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» An Introduction to Transfer Learning

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ICML
2010
IEEE

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Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process

13 years 11 months ago

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Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...

Kevin R. Canini, Mikhail M. Shashkov, Thomas L. Gr...

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NIPS
2007

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Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations

13 years 11 months ago

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In transfer learning we aim to solve new problems using fewer examples using information gained from solving related problems. Transfer learning has been successful in practice, a...

M. M. Mahmud, Sylvian R. Ray

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ICML
2010
IEEE

257views Machine Learning» more ICML 2010»

Boosting for Regression Transfer

13 years 11 months ago

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The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...

David Pardoe, Peter Stone

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ESSMAC
2003
Springer

136views Intelligent Agents» more ESSMAC 2003»

An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning

14 years 3 months ago