Volume 73,
Number 1,
October 2008
Special issue on Inductive Logic Programming (ILP 2007)
Volume 73,
Number 2,
November 2008
- Qingping Tao, Stephen D. Scott:
Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning.
107-132
Electronic Edition (link) BibTeX
- Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Klaus Brinker:
Multilabel classification via calibrated label ranking.
133-153
Electronic Edition (link) BibTeX
- Yushi Jing, Vladimir Pavlovic, James M. Rehg:
Boosted Bayesian network classifiers.
155-184
Electronic Edition (link) BibTeX
- Celine Vens, Jan Struyf, Leander Schietgat, Saso Dzeroski, Hendrik Blockeel:
Decision trees for hierarchical multi-label classification.
185-214
Electronic Edition (link) BibTeX
Volume 73,
Number 3,
December 2008
Special Issue on Inductive Transfer Learning
- Daniel L. Silver, Kristin P. Bennett:
Guest editor's introduction: special issue on inductive transfer learning.
215-220
Electronic Edition (link) BibTeX
- Jian Zhang, Zoubin Ghahramani, Yiming Yang:
Flexible latent variable models for multi-task learning.
221-242
Electronic Edition (link) BibTeX
- Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil:
Convex multi-task feature learning.
243-272
Electronic Edition (link) BibTeX
- Shai Ben-David, Reba Schuller Borbely:
A notion of task relatedness yielding provable multiple-task learning guarantees.
273-287
Electronic Edition (link) BibTeX
- Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, Alan Fern:
Transfer in variable-reward hierarchical reinforcement learning.
289-312
Electronic Edition (link) BibTeX
- Daniel L. Silver, Ryan Poirier, Duane Currie:
Inductive transfer with context-sensitive neural networks.
313-336
Electronic Edition (link) BibTeX
Copyright © Sun May 17 00:13:41 2009
by Michael Ley (ley@uni-trier.de)
