CONTEXT
2001
Springer
13 years 10 months ago
2001
Springer
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...
CONTEXT
2001
Springer
13 years 10 months ago
2001
Springer
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...
CONTEXT
2001
Springer
13 years 10 months ago
2001
Springer
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...
CONTEXT
2001
Springer
13 years 10 months ago
2001
Springer
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...
ASIAMS
2009
IEEE
13 years 11 months ago
2009
IEEE
—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 ...
PADS
2003
ACM
13 years 11 months ago
2003
ACM
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...
PADS
2003
ACM
13 years 11 months ago
2003
ACM
In distributed simulations, such as multi-player distributed virtual environments (DVE), power consumption traditionally has not been a major design factor. However, emerging batt...
PADS
2003
ACM
13 years 11 months ago
2003
ACM
This paper presents Maya, a multi-paradigm, scalable and extensible network modeling framework for emulating distributed applications. A novel three-tier architecture is proposed ...
PADS
2003
ACM
13 years 11 months ago
2003
ACM
PADS
2003
ACM
13 years 11 months ago
2003
ACM
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...