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» Adaptive Transfer Learning
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NIPS
2007
14 years 11 months ago
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations
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
ICML
2010
IEEE
14 years 10 months ago
Boosting for Regression Transfer
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
TCC
2009
Springer
130views Cryptology» more  TCC 2009»
15 years 10 months ago
Adaptive Zero-Knowledge Proofs and Adaptively Secure Oblivious Transfer
In the setting of secure computation, a set of parties wish to securely compute some function of their inputs, in the presence of an adversary. The adversary in question may be st...
Yehuda Lindell, Hila Zarosim
63
Voted
ATAL
2006
Springer
15 years 1 months ago
Teaching new teammates
Knowledge transfer between expert and novice agents is a challenging problem given that the knowledge representation and learning algorithms used by the novice learner can be fund...
Doran Chakraborty, Sandip Sen
74
Voted
KCAP
2005
ACM
15 years 3 months ago
Knowledge transfer via advice taking
We present a framework for knowledge transfer from one reinforcement learning task to a related task through advicetaking mechanisms. We discuss the importance of transfer in comp...
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richa...