Abstract. In this paper we propose to re-read the past work on formalizing context as the search for a logic of the relationships between partial, approximate, and perspectival the...
Massimo Benerecetti, Paolo Bouquet, Chiara Ghidini
Abstract. In order to be useful, intelligent information retrieval agents must provide their users with context-relevant information. This paper presents WordSieve, an algorithm fo...
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
Many attempts have been made to capture, on the one hand, the nature of knowledge, and on the other hand, the nature of context. In this paper, we compare the two concepts of conte...
—Reduced ordered binary decision diagram (ROBDD) is a memory-efficient data structure which is used in many applications such as synthesis, digital system, verification, testing ...
Hossein Moeinzadeh, Mehdi Mohammadi, Hossein Pazho...
We describe two major developments in the General Network Simulation Integration System (Genesis): the support for BGP protocol in large network simulations and distribution of th...
In distributed simulations, such as multi-player distributed virtual environments (DVE), power consumption traditionally has not been a major design factor. However, emerging batt...
Weidong Shi, Kalyan S. Perumalla, Richard M. Fujim...
This paper presents Maya, a multi-paradigm, scalable and extensible network modeling framework for emulating distributed applications. A novel three-tier architecture is proposed ...
Junlan Zhou, Zhengrong Ji, Mineo Takai, Rajive Bag...
The simulation of large–scale multicast networks often requires a significant amount of memory that can easily exceed the capacity of current computers, both because of the inh...
Donghua Xu, George F. Riley, Mostafa H. Ammar, Ric...