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Exact(5)
To evaluate the recognition rate achieved using mixture models, the feature vectors are fed into the GMM/SVM classifier.
In such models, the feature selection is embedded in the training process of classification algorithm by optimizing a penalty parameter (lambda).
For the bagging models, the feature importances for each of the 50 trees were averaged (see "Methods"), and the most important descriptors extracted were similar to the ones from the J48 trees: SlogP, a_hyd, a_aro, as well as the number of donor and acceptor atoms (a_donacc), and the Wiener path (weinerPath; sum of the lengths of the shortest paths between all pairs of heavy atoms).
(24 ) A CBS system shares with these models the feature of manual collection of excreta in relatively small containers.
However, it was readily predicted by episodic memory models: the feature bias establishes a bias in long term memory representations, which results in a persistent effect on search performance.
Similar(55)
The model consists of the integrated platform system, information model, part model, geometric modelling and the feature model.
We consider a classifier based on Independent Component Analysis Mixture Modelling (ICAMM) to model the feature joint-probability density.
Subsequently, for each further feature, we fit a linear regression that modelled the feature's values over all experiments as a function of the already selected features.
Because the model using HAc ChIP VS performed the best among the two-feature models, the three-feature model analysis was restricted to models with motifs, HAc ChIP VS and one additional feature.
The main objective is to build separate models at the feature level.
The most important part of such computational models is the feature calculation for drug combinations.
Related(20)
samples the feature
systems the feature
models the characteristic
models the features
sample the feature
later the feature
example the feature
models the teacher
models the size
models the study
models the technology
models the laboratory
models the device
models the gap
models the probability
models the side
models the sensor
models the hipster
models the staff
models the rate
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