device, while the data in the training set and offline test set are manually reviewed and choired for better data quality than the online test set, both of which result in some degradation in the model’s performance when practical applied in real life, but still retain an acceptable level ...
The popular neighbor-joining (NJ) algorithm used in phylogenetics is a greedy algorithm for finding the balanced minimum evolution (BME) tree associated to a dissimilarity map. From this point of view, NJ is "optimal" when the algorithm outputs the tree
AP is calculated using difference-average accuracy (DAA), the area under the accuracy-recall curve. Accuracy and recall are calculated using the formulas in Eqs. (1), (2):(1)Precision=TPTP+FP(2)Recall=TPTP+FNWhere T/F is true/false, indicating whether the prediction is correct or not,...
In DAA, the size of the archive depends on the number of subspaces, and they do not need to compare new solutions with all the archived solutions. This can reduce the computational cost significantly. For the disadvantages of single archive, they also study a multiobjective feature selection ...
In this regard, ref. [42] used GridSearchCV to obtain the parameters to build the MLP, logistic regression, random forest, the SVM, decision tree, XGBoost, LightGBM and a 2-layered neural network for credit risk prediction, with XGBoost also serving as the model used to test the class ...
In those scenarios, the uncertainty integration method (UIM) identifies the best combination by minimizing the additional reserve requirements caused by the uncertainty of power sources. An integration process for uncertainties is formulated for stochastic unit commitment (SUC) problems and optimized by ...
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The maxP technique restricts the search space in a more simple way, by only limiting the maximum number of parents for each node without a heuristic estimation step. Nevertheless, the two methods ignore the biological fact and suffer from the problem of tuning parameter. The fact that they ...
A simulation and application for the pushing distance estimation proves the effectiveness and superiority of the proposed method. The rest of this paper is organized as follows: In Section 2, preliminaries of Kalman filter and basic FOA are presented. In Section 3, the framework of proposed ...
The hash of the block itself depends on all the transactions in the block, but instead of sequentially passing transactions to the hash function, they assembled into a single hash value using a binary hash tree. Thus, hashes are used as a replacement for pointers in common data structures: ...