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ICML
2005
IEEE
16 years 20 days ago
Discriminative versus generative parameter and structure learning of Bayesian network classifiers
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
Franz Pernkopf, Jeff A. Bilmes
SIGSOFT
2008
ACM
16 years 18 days ago
Automated identification of parameter mismatches in web applications
Quality assurance techniques for web applications have become increasingly important as web applications have gained in popularity and become an essential part of our daily lives....
William G. J. Halfond, Alessandro Orso
ECAL
2007
Springer
15 years 6 months ago
Evolving Cultural Learning Parameters in an NK Fitness Landscape
Cultural learning allows individuals to acquire knowledge from others through non-genetic means. The effect of cultural learning on the evolution of artificial organisms has been...
Dara Curran, Colm O'Riordan, Humphrey Sorensen
GECCO
2010
Springer
168views Optimization» more  GECCO 2010»
15 years 4 months ago
On the generality of parameter tuning in evolutionary planning
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...
Jacques Bibai, Pierre Savéant, Marc Schoena...
CMG
2008
15 years 1 months ago
Computing Missing Service Demand Parameters for Performance Models
One of the challenges in building analytic performance models such as queuing network models is obtaining service demands for the various workloads and various devices. While some...
Daniel A. Menascé