Deep learning has achieved a great success in many areas, from computer vision to natural language processing, to game playing, and much more. Yet, what deep learning is really doing is still an open question. There are a lot of works in this direction. For example, [6] tried to explain deep learning by group renormalization, and [5] tried to explain deep learning from the view of functional ap...

In natural language technology up to now most projects were based on either logical and linguistic methods or they were strictly based on stochastic techniques alone borrowed from pattern recognition. This article discusses hybrid symbolic and stochastic techniques in natural language processing as they are currently explored in many projects and in particular in our work within the Verbmobil p...

in this study 18 corn hybrids consist of 15 new early and mid mature foreign hybrids and three commercial iranian corn hybrids (ksc704, ksc647 and dc370) as controls were evaluated at two rcbd with three replications at the khorasan razavi agricultural research and natural resources center, during 2008 -2010. results showed that hybrid exp1 and dc370 with 16.5 and 12.1 t.ha-1 were the best and ...

Objective(s): Hybridization of bioactive natural and synthetic compounds is one of the most promising novel approaches for the design of hit and lead compounds with new molecular structures. In this investigation, a series of novel hybrid structures bearing quinazolinone, benzofuran and imidazolium moieties were designed and synthesized. Materials and Methods:Novel hybrid compounds were prepare...