分布的转变涉及到了输出分布很大的变化,对现有的模型造成一个很大级别的瑕疵。 3 Methods 这一节描述了我们的方法的两个阶段(1)建立一个只有偏差的模型和(2)使用它通过集合训练一个健壮的模型。 3.1 Training a Bias-Only Model 第一阶段的目标是建立一个在训练数据上表现良好的模型,但在域外测试集上表现可能很...
Ensemble- based methods for forecasting census in hospital units. BMC medical research methodology, 13:67, 2013. 14Koestler, D. C., Ombao, H., & Bender, J. (2013). Ensemble-based methods for forecasting census in hospital units. BMC Medical Research Methodology, 13(6), 454-462....
Ensemble-based anomaly detection methods still face some challenges, however, such as data imbalance, time and space demand and the selection of base detectors. To this end, we propose a selective ensemble method for anomaly detection based on parallel learning (SEAD-PL). First, a differentiated...
Methods Background The most commonly known IOL power calculations formulae can be categorized into two main approaches: the first one is purely based on a linear regression analysis of retrospective cases, whereas the second one is based on a geometrical optics solution. The first IOL power calcul...
3.3 Methods Used 方法使用 论文在这儿,说了一堆废话,他尝试了很多模型,发现决策树最厉害,所以我们就用决策树了。 在我们的数据中数据有2.336的作弊者、2.596的不确定和95.068的未作弊,我们面临数据倾斜的问题。为了解决这个问题,我们用了smote算法来拟合出更多的反例。
To overcome this shortcoming, this paper proposes the robust localization method based on ensemble-based manifold learning in wireless sensor networks, and analyzes two ensemble-based methods. Experimental results show that this method not only improves the location accuracy, but also decreases the ...
We test SAMFs ability to find transcription factor binding sites in an Escherichia coli dataset and show that it outperforms previous methods. Additionally, we uncover a number of previously unidentified binding sites in this data, and provide evidence that they correspond to actual regulatory ...
Tree-based ensemble methods and their applications in analytical chemistry[J] . Dong-Sheng Cao,Jian-Hua Huang,Yi-Zeng Liang.Trends in Analytical Chemistry . 2012D.-S. Cao, J.-H. Huang, Y.-Z. Liang, Q.-S. Xu, L.-X. Zhang, Tree-based ensemble methods and their applications in ...
Some research finds the efficacy of signature-based methods, which rely on predefined patterns to flag known botnet traffic. While this approach has demonstrated proficiency in recognizing established threats, it fundamentally lacks the flexibility to adapt to the polymorphic nature of contemporary botnets...
The article aims at methods from the field of pattern recognition, which primarily means various types of neural networks. The proposed approaches are verified experimentally. Introduction A classifier may be regarded as a computer based agent, which can perform a classification task. Classifiers can ...