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IJCAI
1989
13 years 8 months ago
Input Data Management in Real-Time AI Systems
A real-time AI system in the real world needs to monitor an immense volume of data. To do this, the system must filter out much of the incoming data. However, it must remain re­ ...
Richard Washington, Barbara Hayes-Roth
MICRO
2000
IEEE
74views Hardware» more  MICRO 2000»
14 years 15 hour ago
Predictor-directed stream buffers
An effective method for reducing the effect of load latency in modern processors is data prefetching. One form of data prefetching, stream buffers, has been shown to be particular...
Timothy Sherwood, Suleyman Sair, Brad Calder
SDM
2009
SIAM
129views Data Mining» more  SDM 2009»
14 years 4 months ago
Scalable Distributed Change Detection from Astronomy Data Streams Using Local, Asynchronous Eigen Monitoring Algorithms.
This paper considers the problem of change detection using local distributed eigen monitoring algorithms for next generation of astronomy petascale data pipelines such as the Larg...
Kamalika Das, Kanishka Bhaduri, Sugandha Arora, We...
NIPS
2008
13 years 9 months ago
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' when 'g...
Daphna Weinshall, Hynek Hermansky, Alon Zweig, Jie...
GRID
2006
Springer
13 years 7 months ago
Stream processing in data-driven computational science
The use of real-time data streams in data-driven computational science is driving the need for stream processing tools that work within the architectural framework of the larger ap...
Ying Liu, Nithya N. Vijayakumar, Beth Plale