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INFORMS
2007
123views more  INFORMS 2007»
15 years 6 months ago
Constructing Ensembles from Data Envelopment Analysis
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...
Zhiqiang Zheng, Balaji Padmanabhan
JCIT
2007
159views more  JCIT 2007»
15 years 6 months ago
GDIA: A Scalable Grid Infrastructure for Data Intensive Applications
The applications in many scientific fields, like bioinformatics and high-energy physics etc, increasingly demand the computing infrastructures can provide more computing power and...
Xiaohui Wei, Zhaohui Ding, Wilfred W. Li, Osamu Ta...
JCP
2007
181views more  JCP 2007»
15 years 6 months ago
Reducing Energy Consumption of Wireless Sensor Networks through Processor Optimizations
When the environmental conditions are stable, a typical Wireless Sensor Network (WSN) application may sense and process very similar or constant data values for long durations. Thi...
Gürhan Küçük, Can Basaran
TSE
2008
129views more  TSE 2008»
15 years 6 months ago
Classifying Software Changes: Clean or Buggy?
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
Sunghun Kim, E. James Whitehead Jr., Yi Zhang 0001
CUZA
2002
129views more  CUZA 2002»
15 years 6 months ago
Ad Hoc Metacomputing with Compeer
Metacomputing allows the exploitation of geographically seperate, heterogenous networks and resources. Most metacomputers are feature rich and carry a long, complicated installati...
Keith Power, John P. Morrison