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» Applying Knowledge to Reverse Engineering Problems
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IJPRAI
2000
83views more  IJPRAI 2000»
13 years 7 months ago
Practical Issues in Modeling Large Diagnostic Systems with Multiply Sectioned Bayesian Networks
As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These...
Yanping Xiang, Kristian G. Olesen, Finn Verner Jen...
CSE
2009
IEEE
14 years 1 months ago
Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery
—The hidden knowledge in social networks data can be regarded as an important resource for criminal investigations which can help finding the structure and organization of a crim...
Amin Milani Fard, Martin Ester
ICSE
1993
IEEE-ACM
13 years 11 months ago
A Comprehensive Process Model for Studying Software Process Papers
E cient and e ective studying of scienti c papers is an important part of software engineering education. Moreover, it contributes to the knowledge necessary to carry out software...
Rudolf K. Keller, Richard Lajoie, Nazim H. Madhavj...
WOSP
2000
ACM
13 years 11 months ago
Software performance antipatterns
A pattern is a common solution to a problem that occurs in many different contexts. Patterns capture expert knowledge about “best practices” in software design in a form that ...
Connie U. Smith, Lloyd G. Williams
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
13 years 10 months ago
Evolving agent behavior in multiobjective domains using fitness-based shaping
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
Jacob Schrum, Risto Miikkulainen