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ICTAI
2006
IEEE
14 years 1 months ago
Intelligent Neighborhood Exploration in Local Search Heuristics
Standard tabu search methods are based on the complete exploration of current solution neighborhood. However, for some problems with very large neighborhood or time-consuming eval...
Isabelle Devarenne, Hakim Mabed, Alexandre Caminad...
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 29 days ago
An autonomous explore/exploit strategy
In reinforcement learning problems it has been considered that neither exploitation nor exploration can be pursued exclusively without failing at the task. The optimal balance bet...
Alex McMahon, Dan Scott, William N. L. Browne
JBI
2007
110views Bioinformatics» more  JBI 2007»
13 years 7 months ago
FreeViz - An intelligent multivariate visualization approach to explorative analysis of biomedical data
Visualization can largely improve biomedical data analysis. It plays a crucial role in explorative data analysis and may support various data mining tasks. The paper presents Free...
Janez Demsar, Gregor Leban, Blaz Zupan
BMCBI
2010
104views more  BMCBI 2010»
13 years 7 months ago
Using simple artificial intelligence methods for predicting amyloidogenesis in antibodies
Background: All polypeptide backbones have the potential to form amyloid fibrils, which are associated with a number of degenerative disorders. However, the likelihood that amyloi...
Maria Pamela C. David, Gisela P. Concepcion, Eduar...
PREMI
2005
Springer
14 years 28 days ago
Systematically Evolving Configuration Parameters for Computational Intelligence Methods
The configuration of a computational intelligence (CI) method is responsible for its intelligence (e.g. tolerance, flexibility) as well as its accuracy. In this paper, we investiga...
Jason M. Proctor, Rosina Weber