Výsledky vyhledávání - Unsupervised Machine Learning Methods

A comparative analysis of unsupervised machine‐learning methods in PSG‐related phenotyping Autor Ghorvei, Mohammadreza, Karhu, Tuomas, Hietakoste, Salla, Ferreira‐Santos, Daniela, Hrubos‐Strøm, Harald, Islind, Anna Sigridur, Biedebach, Luka, Nikkonen, Sami, Leppänen, Timo, Rusanen, Matias

“… However, the selection of the clustering method might affect the outputs. Consequently, it is unclear whether similar obstructive sleep apnea clusters can be reproduced using different clustering methods…”
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Exploring gene–gene interaction in family‐based data with an unsupervised machine learning method: EPISFA Autor Xiang, Xiao, Wang, Siyue, Liu, Tianyi, Wang, Mengying, Li, Jiawen, Jiang, Jin, Wu, Tao, Hu, Yonghua

“…) based on unsupervised machine learning to screen G × G. Extensive simulations were performed to compare EPISFA/EPISFA…”
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Application of unsupervised machine learning methods to actor–critic structures in reinforcement learning for training and online implementation Autor Beahr, Daniel, Bhattacharyya, Debangsu

“… This is exacerbated when the focus is an online implementation. It is the goal of this work to investigate the use of unsupervised learning to make more efficient decisions…”
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Using Unsupervised Machine Learning Methods to Cluster Comorbidities in a Population‐Based Cohort of Patients With Rheumatoid Arthritis Autor Crowson, Cynthia S., Gunderson, Tina M., Davis, John M., Myasoedova, Elena, Kronzer, Vanessa L., Coffey, Caitrin M., Atkinson, Elizabeth J.

“… Unsupervised machine learning methods of interest included hierarchical clustering, factor analysis, K…”
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Automatic Classification of Galaxy Morphology: A Rotationally-invariant Supervised Machine-learning Method Based on the Unsupervised Machine-learning Data Set Autor Fang, GuanWen, Ba, Shuo, Gu, Yizhou, Lin, Zesen, Hou, Yuejie, Qin, Chenxin, Zhou, Chichun, Xu, Jun, Dai, Yao, Song, Jie, Kong, Xu

“… By introducing the adaptive polar-coordinate transformation, we develop a rotationally-invariant supervised machine-learning (SML…”
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Unsupervised machine learning methods and emerging applications in healthcare Autor Eckhardt, Christina M., Madjarova, Sophia J., Williams, Riley J., Ollivier, Mattheu, Karlsson, Jón, Pareek, Ayoosh, Nwachukwu, Benedict U.

“…Unsupervised machine learning methods are important analytical tools that can facilitate the analysis and interpretation of high-dimensional data…”
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A Novel Unsupervised Machine Learning-Based Method for Chatter Detection in the Milling of Thin-Walled Parts Autor Wang, Runqiong, Song, Qinghua, Liu, Zhanqiang, Ma, Haifeng, Gupta, Munish Kumar, Liu, Zhaojun

“… This limits the development of unsupervised machine learning algorithms for chattering detection, which further affects the application in practical…”
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OpenStreetMap quality assessment using unsupervised machine learning methods Autor Jacobs, Kent T., Mitchell, Scott W.

“… an understanding of how users are contributing to the database, and their ability to do so accurately. Unsupervised machine learning analyses expose a cluster of experienced contributors classified…”
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Enhancing Snow Detection through Deep Learning: Evaluating CNN Performance Against Machine Learning and Unsupervised Classification Methods Autor Kesikoglu, Mustafa Hayri

“…)) and supervised machine learning classification methods (support vector machines (SVM) and classification…”
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An unsupervised machine learning method for discovering patient clusters based on genetic signatures Autor Lopez, Christian, Tucker, Scott, Salameh, Tarik, Tucker, Conrad

“… Unsupervised machine learning methods are suitable to address this type of problem, in which no a priori class label information is available to guide this search…”
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Precision soil sampling strategy for the delineation of management zones in olive cultivation using unsupervised machine learning methods Autor Bougiouklis, John-Nick, Barouchas, Pantelis E., Petropoulos, Panagiotis, Tsesmelis, Dimitrios E., Moustakas, Nicholas

“… The results of this study are crucial because they showed the potential of unsupervised machine learning techniques in this setting and important soil characteristics for defining management zones…”
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A novel framework for groundwater quality evaluation in industrial zone using unsupervised machine learning methods Autor Panneerselvam, Mukesh, Govindan, Venkatesan, Sakthivel, Lakshmana Prabu

“… The integrated assessment of groundwater using unsupervised machine learning method associated human health risk assessment are identified as research gap in the study region…”
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Unsupervised Machine Learning Methods for Anomaly Detection in Network Packets Autor Park, Hyoseong, Shin, Dongil, Park, Chulgyun, Jang, Jisoo, Shin, Dongkyoo

“… To overcome this limitation, machine learning-based methods have been explored to identify anomalous patterns in network traffic indicative of unknown intrusions…”
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Using Unsupervised and Supervised Machine Learning Methods to Correct Offset Anomalies in the GOES‐16 Magnetometer Data Autor Inceoglu, F., Loto'aniu, Paul T. M.

“…This study uses supervised and unsupervised machine learning (ML) methods to correct unwanted offsets observed in the NOAA GOES…”
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A comparative study for determining Covid-19 risk levels by unsupervised machine learning methods Autor Fidan, Huseyin, Erkan Yuksel, Mehmet

“…•Environmental variables should be used for restrictions.•Unsupervised machine learning techniques should be used instead of threshold values…”
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Ensemble-based unsupervised machine learning method for membership determination of open clusters using Mahalanobis distance Autor Deb, Sukanta, Baruah, Amiya, Kumar, Subhash

“…ABSTRACT We present an improved method for the determination of membership of an open cluster using ensemble-based unsupervised machine learning techniques…”
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Review of unsupervised machine learning methods in active infrared thermography for defect detection and analysis Autor Liu, Yi, Yao, Yuan, Wang, Fumin, Sfarra, Stefano, Liu, Kaixin

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Mwd-based real-time identification of rock weathering: A comparison of supervised and unsupervised machine learning methods Autor Li, Yang, Chen, Jiayao, Shen, Yifan, Fang, Qian, Man, Jianhong

“…•Proposed method screens data by depth range to enhance model perf. A large-scale database linking six-dimensional tunneling parameters to rock weathering conditions was constructed from measurement-while-drilling (MWD…”
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The relationship between clinical subtypes, prognosis, and treatment in ICU patients with acute cholangitis using unsupervised machine learning methods Autor Sheng, Yuanhui, Xu, Shan, Zhang, Shu, Zhang, Dan

“… individualized risk assessment and treatment strategies using an unsupervised analysis. Methods We conducted a retrospective analysis of ICU patients with AC from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database…”
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Channel head extraction based on fuzzy unsupervised machine learning method Autor Wu, Jian, Liu, Haixing, Wang, Zhe, Ye, Lei, Li, Min, Peng, Yong, Zhang, Chi, Zhou, Huicheng

“… In this study, a fuzzy unsupervised machine learning method (e.g., the fuzzy c-means clustering…”
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