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» Adaptive Learning from Evolving Data Streams
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128
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IC
2004
15 years 4 months ago
An Internet-Wide Distributed System for Data-Stream Processing
The ubiquity of the Internet has stimulated the development of data- rather than processor-intensive applications. Such data-intensive applications include streaming media, intera...
Gabriel Parmer, Richard West, Xin Qi, Gerald Fry, ...
157
Voted
ICDCS
2007
IEEE
15 years 7 months ago
Efficient Execution of Continuous Incoherency Bounded Queries over Multi-Source Streaming Data
On-line decision making often involves query processing over time-varying data which arrives in the form of data streams from distributed locations. In such environments typically...
Manish Bhide, Krithi Ramamritham, Mukund Agrawal
95
Voted
CIMCA
2005
IEEE
15 years 9 months ago
Fuzzy Inference Model for Learning from Experiences and Its Application to Robot Navigation
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
Manabu Gouko, Yoshihiro Sugaya, Hirotomo Aso
123
Voted
CCGRID
2004
IEEE
15 years 7 months ago
A decentralized scheduler for distributed video streaming in a server-less video streaming system
Recently, a server-less video-on-demand architecture has been proposed to eliminate costly dedicated video servers and yet is highly scalable and reliable. However, because of the...
C. Y. Chan, Jack Y. B. Lee
112
Voted
IJCAI
2001
15 years 4 months ago
Using Case-Base Data to Learn Adaptation Knowledge for Design
One advantage of Case-Based Reasoning (CBR) is the relative ease of constructing and maintaining CBR systems, especially as a number of commercial CBR tools are available. However...
Jacek Jarmulak, Susan Craw, Ray Rowe