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The maximum number of features is z=L/9.
For Random Forest, the number of trees, the maximum number of features, and whether bootstrap was used during tree generation were varied.
This variability is related to the large effect that some hyperparameters, such as whether bootstrap is used to construct the trees or the maximum number of features to use, have on the model performance.
However, it is very difficult to know how many features are required unless someone has some domain knowledge or the maximum number of features has been dictated in advance based on outside constraints.
The maximum number of features in a vector was 8. Thus there was 776 frames per Gaussian mixture for training the rotational HMM, and 1498 frames for training each nonrotational HMM Gaussian mixture.
We included the top 50 discriminative genes in the initial marker set, to keep the maximum number of features identical for all classification methods.
Similar(47)
In this section, we address the first problem discussed in Sect. 2 by formulating the discriminative subgraph selection problem as a general optimization framework as follows: {mathcal{T}}^*={mathrm{argmin}}_{{mathcal{T}}subseteq {mathcal{S}}}{mathcal{F}}({mathcal{T}}) quad {text{s.t.}},|{mathcal{T}}|le k (4 where (|cdot |) denotes the cardinality and k is the maximum number of feature selected.
Maximum number of extracted features: 60.
Assume the maximum number of matching features between the query and the record is, then we set up the threshold as, such that any record having matching features more than this threshold will be "claimed" as a retrieval.
This dependence is illustrated for the maximum number of 100 features that all fall below the selection threshold of 0.2 and are ranked based on the least recognition error using the cross validation test.
Ranking was determined based on the maximum number of clinical features scored from every cluster.
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