We define state transition grammars (STG) as an intermediate tbrmalism between grammars and parsing algorithms which is intended to separate the description of a parsing strategy ...
This I)aper presents an implemented multi-tal)e twolevel model capable of describing Semitie non-linear morphology. The computational fl'arnework behind the ettrrcnt work is ...
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...
Modern networks are highly variable and, as a result, source coders are commonly used under conditions that they were not designed for. We address this problem with a source-codin...
: Recently lots of studies aim at modeling and inferring gene networks. Modeling tools propose graphical models having almost nothing about time description of events and regards t...