In this paper we present the INSS system, a new hybrid approach based upon the principles of KBANN networks. It represents an important improvement in comparison with its predecessor because the learning and the knowledge extraction process are faster and are accomplished in an incremental way . INSS offers a new approach applicable to constructive machine learning with high-performance tools, ...

This paper first discusses the machine to machine (M2M) domain architecture which becomes the basic model for hybrid Medium Access Control (MAC) protocols for large M2M networks and also it sets the background for hybrid MAC scheme. A review of the contention based and reservation based MAC protocols used in M2M networks is then made. Refer ences Liu,Y. , Yuen, C. , Chen, J. and Cao, X. 2013. A...

This paper presents a hybrid dialog state tracker that combines a rule based and a machine learning based approach to belief state tracking. Therefore, we call it a hybrid tracker. The machine learning in our tracker is realized by a Long Short Term Memory (LSTM) network. To our knowledge, our hybrid tracker sets a new state-of-the-art result for the Dialog State Tracking Challenge (DSTC) 2 dat...

This paper describes the machine translation (MT) system developed by the Transducens Research Group, from Universitat d’Alacant, Spain, for the WMT 2011 shared translation task. We submitted a hybrid system for the Spanish–English language pair consisting of a phrase-based statistical MT system whose phrase table was enriched with bilingual phrase pairs matching transfer rules and dictionary e...

The contribution discusses variants of architectures of hybrid MT systems. The three main types of architectures are: coupling of systems (serial or parallel), architecture adaptations (integrating novel components into SMT or RMT architectures, either by pre/post-editing, or by system core modifications), and genuine hybrid systems, combining components of different paradigms. The interest is ...

We present the DFKI hybrid translation system at the WMT workshop 2011. Three SMT and two RBMT systems are combined at the level of the final translation output. The translation results show that our hybrid system significantly outperformed individual systems by exploring strengths of both rule-based and statistical translations.

abstract background and aim: one of the major problems with resin composite restorations is the weakness of bonding between the new and aged composites. since appropriate micromechanical retention is necessary for the repair of aged resin composite restorations, the level of surface roughness after sandblasting can be influential in this regard. considering the diverse composition of available ...