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GECCO
2005
Springer
134views Optimization» more  GECCO 2005»
15 years 3 months ago
Predicting mining activity with parallel genetic algorithms
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
BMCBI
2008
135views more  BMCBI 2008»
14 years 9 months ago
Inferring the role of transcription factors in regulatory networks
Background: Expression profiles obtained from multiple perturbation experiments are increasingly used to reconstruct transcriptional regulatory networks, from well studied, simple...
Philippe Veber, Carito Guziolowski, Michel Le Borg...
CSDA
2008
77views more  CSDA 2008»
14 years 9 months ago
Maximizing equity market sector predictability in a Bayesian time-varying parameter model
A large body of evidence has emerged in recent studies confirming that macroeconomic factors play an important role in determining investor risk premia and the ultimate path of eq...
Lorne D. Johnson, Georgios Sakoulis
RECSYS
2009
ACM
15 years 4 months ago
Recommending new movies: even a few ratings are more valuable than metadata
In the Netflix Prize competition many new collaborative filtering (CF) approaches emerged, which are excellent in optimizing the RMSE of the predictions. Matrix factorization (M...
István Pilászy, Domonkos Tikk
FTCS
1997
57views more  FTCS 1997»
14 years 11 months ago
Predicting Physical Processes in the Presence of Faulty Sensor Readings
A common problem in the operation of mission critical control systems is that of determining the future value of a physical quantity based upon past measurements of it or of relat...
Matthew Clegg, Keith Marzullo