全部文献期刊会议图书|学者科研项目
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作者:Kazunori D. Yamada , Satoshi Omori , Hafumi Nishi ...
来源:[J].BMC Bioinformatics(IF 3.024), 2017, Vol.18 (1)Springer
摘要:N -terminal acetylation is one of the most common protein modifications in eukaryotes and occurs co-translationally when the N -terminus of the nascent polypeptide is still attached to the ribosome. This modification has been shown to be involved in a wide range of biological phe...
作者:Cédric M. Panje , Markus Glatzer , Joscha von Rappard ...
来源:[J].BMC Medical Research Methodology(IF 2.211), 2017, Vol.17 (1)Springer
摘要:The objective consensus methodology has recently been applied in consensus finding in several studies on medical decision-making among clinical experts or guidelines. The main advantages of this method are an automated analysis and comparison of treatment algorithms of the partic...
作者:Linhui Sun , Sheng Fu , Fu Wang
来源:[J].EURASIP Journal on Audio, Speech, and Music Processing(IF 0.63), 2019, Vol.2019 (1), pp.1-14Springer
摘要:... To solve the problem, we propose a speech emotion recognition method based on the decision tree support vector machine (SVM) model with Fisher feature selection. At the stage of feature selection, Fisher criterion is used to filter out the feature parameters of higher disting...
作者:Ting Lan , Hui Hu , Chunhua Jiang ...
来源:[J].Advances in Space Research(IF 1.183), 2020, Vol.65 (8), pp.2052-2061
摘要:... In this paper, we describe and implement three automatic identification methods of spread-F based on machine learning: decision tree, random forest, and convolutional neural network (CNN). The performance of these automatic identification methods was verified using a large se...
作者:Yashuang Mu , Xiaodong Liu , Lidong Wang ...
来源:[J].Pattern Recognition(IF 2.632), 2020, Vol.103
摘要:Abstract(#br)Decision trees are commonly used for learning and extracting classification rules from data. The fuzzy rule based decision tree (FRDT) is very representative owing to its better robustness and generalization. However, FRDT cannot work well on the analysis of large-sc...
作者:Su Zhou , Shulin Wang , Qi Wu ...
来源:[J].Computational Biology and Chemistry(IF 1.793), 2020, Vol.85
摘要:... Considering the insufficient number of known miRNA-disease associations and the poor performance of many existing prediction methods, a novel model combining gradient boosting decision tree with logistic regression (GBDT-LR) is proposed to prioritize miRNA candidates for dise...
作者:Heyong Wang , Ming Hong
来源:[J].Electronic Commerce Research and Applications(IF 1.48), 2020, Vol.40
摘要:... To address this problem, we propose a two-stage method based on a Gaussian filter and a decision tree (M-GFDT). Our method uses a Gaussian filter to adjust distribution of business data in the first stage and builds a decision tree classifier to remove ineffective online ads ...
作者:Sarah Itani , Fabian Lecron , Philippe Fortemps
来源:[J].Applied Soft Computing Journal(IF 2.14), 2020
摘要:... Within a greedy and recursive approach, our proposal for an explainable One-Class decision Tree (OC-Tree) rests on kernel density estimation to split a data subset on the basis of one or several intervals of interest. Thus, the OC-Tree encloses data within hyper-rectangles of...
作者:Surya N. Swain , Alex Makunin , A. Simanchal Dora ...
来源:[J].Acta Tropica(IF 2.787), 2019, Vol.199
摘要:... Keeping in mind, we propose a decision tree-based barcoding (DTB) algorithm for generating SNP barcodes from the DNA barcoding sequence of several evolutionarily related species to accurately identify a single species. To address this issue, we analyzed mitochondrial COI gene...
作者:Ching-Chin Chern , Yu-Jen Chen , Bo Hsiao
来源:[J].BMC Medical Informatics and Decision Making(IF 1.603), 2019, Vol.19 (1), pp.1-15DOAJ
摘要:... Methods We propose a HDTTCA approach, which is a systematic approach (the main process of HDTTCA involves (1) data set preprocessing, (2) decision tree model building, and (3) predicting and explaining of the most important attributes in the data set for patients who qua...

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