A routine for parameter optimization using an accelerated grid-search method
References (6)
Comput. Phys. Commun.
(1987)- et al.
Nucl. Phys.
(1985) - et al.
Comput. Phys. Commun.
(1971)
Cited by (11)
Hyper-parameter optimization of multiple machine learning algorithms for molecular property prediction using hyperopt library
2022, Chinese Journal of Chemical EngineeringCitation Excerpt :However, the published studies either employed arbitrarily selected hyper-parameters [13] or explored the hyper-parameters through the grid searching method [13,14]. The grid search method works well in searching the entire search space and the global optimal solution can be achieved when the interval of grid search is employed small enough [15], while a huge amount of computing resources will be consumed. Typically, machine learning models training on different datasets correspond to different optimal hyper-parameters [16], and therefore there would be a very small probability of empirically selecting the optimal hyper-parameters as shown in Fig. 1(a), (c), and (d).
Idea mining for web-based weak signal detection
2015, FuturesCitation Excerpt :The reduced number of parameters enables to calculate an optimized value for each of the selected parameters in order to get the highest cross-validated F-measure (Guns, Lioma, & Larsen, 2012). This is realized by applying a grid search (Basrak, 1987; Jiménez, Lázaro, & Dorronsoro, 2009) where discrete sequences are used to set the parameter values. The proposed approach is depicted in Fig. 1.
Web mining based extraction of problem solution ideas
2013, Expert Systems with ApplicationsCitation Excerpt :This enables calculating an optimized value for each of the selected parameters without high computationally costs. A grid search (Basrak, 1987) is applied where discrete sequences for the parameter values are used. These values are selected that results in the highest cross-validated F-measure (Guns, Lioma, & Larsen, 2012).
SVM-based decision support system for clinic aided tracheal intubation predication with multiple features
2009, Expert Systems with ApplicationsA computer program for determining the complete reaction amplitude for two-body nuclear reactions involving zero-spin particles
1987, Computer Physics Communications