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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
15 years 9 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
AAAI
2008
15 years 6 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
EMSOFT
2009
Springer
15 years 11 months ago
Cache-aware scheduling and analysis for multicores
The major obstacle to use multicores for real-time applications is that we may not predict and provide any guarantee on real-time properties of embedded software on such platforms...
Nan Guan, Martin Stigge, Wang Yi, Ge Yu
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PADS
2006
ACM
15 years 10 months ago
Analysing the Performance of Optimistic Synchronisation Algorithms in Simulations of Multi-Agent Systems
In this paper we present a detailed analysis of the performance of the Decision Theoretic Read Delay (DTRD) optimistic synchronisation algorithm for simulations of Multistems. We ...
Michael Lees, Brian Logan, Dan Chen, Ton Oguara, G...
ISSRE
2002
IEEE
15 years 9 months ago
Inter-Class Mutation Operators for Java
The effectiveness of mutation testing depends heavily on the types of faults that the mutation operators are designed to represent. Therefore, the quality of the mutation operator...
Yu-Seung Ma, Yong Rae Kwon, Jeff Offutt