Neural network theory

** **

Neural networks and radial basis functions (talk at Bialowieza summer school)

**Papers:**

Ensemble
machine methods for DNA binding (with Y. Fan, and C. DeLisi), *Machine** Learning
and Applications ***7**, M. Wani, et al., eds.
IEEE,

On some integrated
approaches to inference (with L. Plaskota),
technical report, (2005).

Complexity of
predictive neural networks (with L. Plaskota) *Proceedings
of International Conference on Complexity*, Y. Bar-Yam, Ed.,

Complexity of neural
network approximation with limited information:
a worst-case approach (with L. Plaskota), *J.
Complexity ***17** (2001), 345-365.

Complexity of
regularization RBF networks (with L. Plaskota),
in *Proceedings of International Joint Congress on Neural Networks,INNS*,

Neural
networks, radial basis functions, and complexity (with
L. Plaskota), Proceedings of Bialowieza
Conference on Statistical Physics, 1997, 122-145.