Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Background: Many practical tasks in biomedicine require accessing specific types of information in scientific literature; e.g. information about the results or conclusions of the ...
Yufan Guo, Anna Korhonen, Maria Liakata, Ilona Sil...
Finite state machine-based abstractions of software behaviour are popular because they can be used as the basis for a wide range of (semi-) automated verification and validation ...
Grid computing has become increasingly popular with the growth of the Internet, especially in large-scale scientific computation. Computational Grids are characterized by their s...
hemical abstract machine Shinya Sato Himeji Dokkyo University, Faculty of Econoinformatics, 7-2-1 Kamiohno, Himeji-shi, Hyogo 670-8524, Japan Ian Mackie LIX, CNRS UMR 7161, ´Ecole...