This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
Pervasive societal dependency on large-scale, unbounded network systems, the substantial risks of such dependency, and the growing sophistication of system intruders, have focused...
Richard C. Linger, Nancy R. Mead, Howard F. Lipson
Implicit invocation SN92, GN91] has become an important architectural style for large-scale system design and evolution. This paper addresses the lack of speci cation and veri cat...
This paper aims to forecast the economic impacts of changing land-use in UK uplands. We assume that farmers adaptively learn and respond to a dynamic economic environment. The main...
Nanlin Jin, Mette Termansen, Klaus Hubacek, Joseph...
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...