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AADEBUG
1997
Springer
14 years 1 months ago
Modeling Intelligent System Execution as State Transition Diagrams to Support Debugging
Currently, few tools are available for assisting developers with debugging intelligent systems. Because these systems rely heavily on context dependent knowledge and sometimes sto...
Adele E. Howe, Gabriel Somlo
ICMCS
2009
IEEE
183views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Modeling the tele-immersive systems using stochastic activity network
The next-generation social communication medium, teleimmersion, is receiving increasing attention from both the research and industrial communities. It enables interaction between...
Rahul Malik, Wanmin Wu, Klara Nahrstedt
BMCBI
2008
136views more  BMCBI 2008»
13 years 9 months ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
DSN
2011
IEEE
12 years 9 months ago
Modeling time correlation in passive network loss tomography
—We consider the problem of inferring link loss rates using passive measurements. Prior inference approaches are mainly built on the time correlation nature of packet losses. How...
Jin Cao, Aiyou Chen, Patrick P. C. Lee
ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
14 years 3 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...