Guest editor’s introduction: special issue on inductive transfer learning

Argyriou, A., Evgeniou, T., & Pontil, M. (2008). Convex multi-task feature learning. Machine Learning. doi:10.1007/s10994-007-5040-8.
Google Scholar
Baxter, J. (2000). A model for inductive bias learning. Journal of Artificial Intelligence Research, 12, 149–198.
MATH MathSciNet Google Scholar
Ben-David, S., & Schuller Borbely, R. (2008). A notion of task relatedness yielding provable multiple-task learning guarantees. Machine Learning. doi:10.1007/s10994-007-5043-5.
MATH Google Scholar
Mehta, N., Natarajan, S., Tadepalli, P., & Fern, A. (2008). Transfer in variable-reward hierarchical reinforcement learning. Machine Learning. doi:10.1007/s10994-008-5061-y.
Google Scholar
Mitchell, T. M. (1980). The need for biases in learning generalizations. In: J. W. Shavlik & Th. G. Dietterich (Eds.), Readings in machine learning (pp. 184–191).
ML-COLT’94 workshop (1994). Constructive induction and change of representation. http://home.comcast.net/~tom.fawcett/public_html/CICR/index.html.
NIPS’95 workshop (1995). Learning to learn. http://iitrl.acadiau.ca/NIPS95_LTL.
NIPS’05 workshop (2005). Inductive transfer: 10 years later. http://iitrl.acadiau.ca/itws05/.
Pratt, L. (Ed.) (1996). Reuse of neural networks through transfer. Connection Science, 8(2).
Pratt, L., & Thrun, S. (Eds.) (1997). Transfer in inductive systems. Machine Learning, 28(1).
Silver, D., Poirier, R., & Currie, D. (2008). Inductive transfer with context-sensitive neural networks. Machine Learning. doi:10.1007/s10994-008-5088-0.
MATH Google Scholar
Thrun, S., & Pratt, L. Y. (Eds.). (1997). Learning to learn. Boston: Kluwer Academic.
Google Scholar
Utgoff, P. E. (1986). Machine learning of inductive bias. Boston: Kluwer Academic.
Google Scholar
Zhang, J., Ghahramani, Z., & Yang, Y. (2008). Flexible latent variable models for multi-task learning. Machine Learning. doi:10.1007/s10994-008-5050-1.
Article Google Scholar

Download references

Author information

Authors and Affiliations

Jodrey School of Computer Science, Acadia University, Wolfville, NS, Canada, B4P 2R6
Daniel L. Silver
Department of Mathematical Sciences, Rensselaer Polytechnic Institute, Troy, NY, 12180-3590, USA
Kristin P. Bennett

Authors

Daniel L. Silver
View author publications
You can also search for this author in PubMed Google Scholar
Kristin P. Bennett
View author publications
You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Daniel L. Silver.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Silver, D.L., Bennett, K.P. Guest editor’s introduction: special issue on inductive transfer learning. Mach Learn 73, 215–220 (2008). https://doi.org/10.1007/s10994-008-5087-1

Download citation

Received: 01 October 2008
Accepted: 01 October 2008
Published: 21 October 2008
Issue Date: December 2008
DOI: https://doi.org/10.1007/s10994-008-5087-1

Keywords

Use our pre-submission checklist

Avoid common mistakes on your manuscript.

Guest editor’s introduction: special issue on inductive transfer learning

Article PDF

Explore related subjects

References