This paper introduces an approach to develop componentbased adaptive distributed applications. Our approach separates the communication and the functional aspects of a distributed...
An Phung-Khac, Antoine Beugnard, Jean-Marie Gillio...
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark ...
We present a methodology to engineer services in real-time information environments. We evaluate, combine and enrich traditional techniques and methodologies such as New Product D...
Ryan Riordan, Benjamin Blau, Dirk Neumann, Christo...
Dynamically reconfigurable co-processors (DRCs) are interesting design alternatives when both flexibility and performance are concerns. However, it is difficult to study the perfor...
Interactive Digital TV (IDTV) opens new learning possibilities where new forms of education are needed. In this paper we explain a new conception of t-learning experiences where TV...