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...
Nowadays, many commercial CAD systems are built on proprietary geometric kernels which provide an API containing a set of high level geometric operations (boolean operations, slot...
Mehdi Baba-ali, David Marcheix, Xavier Skapin, Yve...
The problem of scalable and robust distributed data storage has recently attracted a lot of attention. A common approach in the area of peer-to-peer systems has been to use a dist...
Displaying and navigating complex information on wearable computers is very different from accessing the same information while sitting at your desk. Limitations in hardware, scre...