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JMLR
2011
117views more  JMLR 2011»
13 years 5 months ago
Parameter Screening and Optimisation for ILP using Designed Experiments
Reports of experiments conducted with an Inductive Logic Programming system rarely describe how specific values of parameters of the system are arrived at when constructing model...
Ashwin Srinivasan, Ganesh Ramakrishnan
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
14 years 5 months ago
An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments
The success of evolutionary algorithms (EAs) depends crucially on finding suitable parameter settings. Doing this by hand is a very time consuming job without the guarantee to ...
Oliver Kramer, Bartek Gloger, Andreas Goebels
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 5 months ago
Screening the parameters affecting heuristic performance
This research screens the tuning parameters of a combinatorial optimization heuristic. Specifically, it presents a Design of Experiments (DOE) approach that uses a Fractional Fac...
Enda Ridge, Daniel Kudenko
BMCBI
2008
84views more  BMCBI 2008»
13 years 11 months ago
poolHiTS: A Shifted Transversal Design based pooling strategy for high-throughput drug screening
Background: A key goal of drug discovery is to increase the throughput of small molecule screens without sacrificing screening accuracy. High-throughput screening (HTS) in drug di...
Raghunandan M. Kainkaryam, Peter J. Woolf
HIS
2001
14 years 8 days ago
Global Optimisation of Neural Networks Using a Deterministic Hybrid Approach
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
Gleb Beliakov, Ajith Abraham