P Sollich.
Query construction, entropy, and generalization in neural network
models.
Physical Review E, 49:4637-4651, 1994.
Abstract and full paper
P Sollich.
Learning unrealizable tasks from minimum entropy queries.
Journal of Physics A, 28:6125-6142, 1995.
Abstract and full paper
P Sollich and D Saad.
Learning from queries for maximum information gain in imperfectly
learnable problems.
In G Tesauro, D S Touretzky, and T K Leen, editors, Advances in
Neural Information Processing Systems 7, pages 287-294, Cambridge, MA,
1995. MIT Press.
Abstract and full paper
P Sollich.
Minimum entropy queries for linear students learning nonlinear rules.
In Verleysen M, editor, Third European Symposium on Artificial
Neural Networks (ESANN'95), Proceedings, pages 217-222, Brussels, 1995. D
facto.
Abstract and full paper
P Sollich.
Learning from minimum entropy queries in a large committee machine.
Physical Review E, 53:R2060-R2063, 1996.
Abstract and full paper
P Sollich.
Query learning for maximum information gain in a multi-layer neural
network.
In S W Ellacott, J C Mason, and I J Anderson, editors, Mathematics of Neural Networks: Models, Algorithms and
Applications, pages 339-343, Boston, MA, 1997. Kluwer
Academic.
Abstract and full paper
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