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RECSYS
2009
ACM
14 years 10 days 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
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 11 days ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
13 years 11 months ago
Monotonic solution concepts in coevolution
Assume a coevolutionary algorithm capable of storing and utilizing all phenotypes discovered during its operation, for as long as it operates on a problem; that is, assume an algo...
Sevan G. Ficici
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
13 years 10 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
13 years 9 months ago
Evolving distributed agents for managing air traffic
Air traffic management offers an intriguing real world challenge to designing large scale distributed systems using evolutionary computation. The ability to evolve effective air t...
Adrian K. Agogino, Kagan Tumer