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» Multi-agent learning for engineers
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INFSOF
2008
90views more  INFSOF 2008»
14 years 10 months ago
JADE: A software framework for developing multi-agent applications. Lessons learned
Since a number of years agent technology is considered one of the most innovative technologies for the development of distributed software systems. While not yet a mainstream appr...
Fabio Bellifemine, Giovanni Caire, Agostino Poggi,...
NC
2006
132views Neural Networks» more  NC 2006»
14 years 10 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
TEDU
2008
126views Education» more  TEDU 2008»
14 years 8 months ago
Online Learning and Clinical Procedures: Rapid Development and Effective Deployment of Game-Like Interactive Simulations
Abstract. Traditionally, medical education has used live patients to teach medical procedures. This carries a significant risk to patients. As learning technology advances, the ear...
Pablo Moreno-Ger, Carl Blesius, Paul Currier, Jos&...
TCAD
2010
102views more  TCAD 2010»
14 years 4 months ago
Functional Test Generation Using Efficient Property Clustering and Learning Techniques
Abstract--Functional verification is one of the major bottlenecks in system-on-chip design due to the combined effects of increasing complexity and lack of automated techniques for...
Mingsong Chen, Prabhat Mishra
ICSM
2008
IEEE
15 years 4 months ago
Automated severity assessment of software defect reports
In mission critical systems, such as those developed by NASA, it is very important that the test engineers properly recognize the severity of each issue they identify during testi...
Tim Menzies, Andrian Marcus