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ECAI
2000
Springer
14 years 3 months ago
Learning Classification taxonomies from a classification knowledge based system
Knowledge-based systems (KBS) are not necessarily based on well-defined ontologies. In particular it is possible to build KBS for classification problems, where there is little con...
Hendra Suryanto, Paul Compton
KBS
2000
59views more  KBS 2000»
13 years 10 months ago
Hands-on representations in a two-dimensional space for early stages of design
In design, problem analysis is as important as solution synthesis. Strategic knowledge is required not only for constructing a solution but also for framing a problem. While exter...
Yasuhiro Yamamoto, Kumiyo Nakakoji, Shingo Takada
ICC
2009
IEEE
133views Communications» more  ICC 2009»
14 years 5 months ago
Reducing Average Power in Wireless Sensor Networks through Data Rate Adaptation
—The use of variable data rate can reduce network latency and average power consumption, and automatic rate selection is critical for improving scalability and minimizing network...
Steven Lanzisera, Ankur Mehta, Kristofer S. J. Pis...
EKAW
2000
Springer
14 years 2 months ago
Informed Selection of Training Examples for Knowledge Refinement
Knowledge refinement tools rely on a representative set of training examples to identify and repair faults in a knowledge based system (KBS). In real environments it is often diffi...
Nirmalie Wiratunga, Susan Craw
ICC
2000
IEEE
14 years 3 months ago
A Framework for the Analysis of Adaptive Voice over IP
— In this paper, we present a framework for the analysis of a set of adaptive variable-bit-rate voice sources in a packet network. The instantaneous bit rate of each source is de...
Claudio Casetti, J. C. De Martin, Michela Meo