This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...
“Volunteer computing” uses Internet-connected computers, volunteered by their owners, as a source of computing power and storage. This paper studies the potential capacity of ...
Basic exploration of diffusion equation solvers in distributed computing systems has been a very important issue for computational fluid dynamics (CFD). This paper presents a funda...
Jun Ni, Lili Huang, Tao He, Yongxiang Zhang, Shaow...
Abstract. We propose a non-standard neural network called TPNN which offers the direct mapping from a peptide sequence to a property of interest in order to model the quantitative ...
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...