d Abstract] Christoph Lenzen Computer Engineering and Networks Laboratory (TIK) ETH Zurich, 8092 Zurich, Switzerland lenzen@tik.ee.ethz.ch Thomas Locher Computer Engineering and N...
Christoph Lenzen, Thomas Locher, Roger Wattenhofer
We use affine arithmetic to improve both the performance and the robustness of genetic programming for symbolic regression. During evolution, we use affine arithmetic to analyze e...
In this article we report on applications and extensions of weighted graph theory in the design and control of communication networks. We model the communication network as a weig...
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
In recent years, several systems have been proposed that learn the rules of a simple card or board game solely from visual demonstration. These systems were constructed for speciï...