Výsledky vyhľadávania - "“nearest neighbor” algorithm"

Telepazarlama Çağrılarının Başarısını Tahmin Etmek Üzere Veriye Dayalı Bir Yaklaşım Autor Mesut Toğaçar, Özge Cömert

“…Amaç: Telepazarlama, telefon aracılığı ile satış yapmak üzere kullanılan pazarlama yöntemlerinden biridir ve günümüzde yaygın olarak kullanılmaktadır. Bu…”
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PRÜFER-KARAGÜL ALGORİTMASI: GEZGİN SATICI PROBLEMİ İÇİN YENİ BİR YAKLAŞIM Autor Kenan Karagül

“…Kombinatoryal optimizasyon alanında temel birmodel olduğu için literatürde oldukça yaygın çalışılan gezgin satıcıprobleminin etkin ve hızlı çözümü için yeni…”
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İçeriden Öğrenenlerin Ticaretine Maruz Kalan Şirketlere Ait Hisse Senedi Getirilerinin K-En Yakın Komşu Algoritması İle Tahmin Edilmesi: ABD Borsaları Örneği Autor Barış Aksoy

“…Bu çalışmada ABD Borsalarında işlem gören ve içeriden öğrenenlerin ticaretine maruz kalan şirketlere ait 01.01.2020-26.02.2022 dönemindeki 10121 işlem verileri…”
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A new locally adaptive k-nearest neighbor algorithm based on discrimination class Autor Pan, Zhibin, Wang, Yikun, Pan, Yiwei

“…The k-nearest neighbor (kNN) rule is a classical non-parametric classification algorithm in pattern recognition, and has been widely used in many fields due to…”
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An Enhanced Quantum K-Nearest Neighbor Classification Algorithm Based on Polar Distance Autor Feng, Congcong, Zhao, Bo, Zhou, Xin, Ding, Xiaodong, Shan, Zheng

“…The K-nearest neighbor (KNN) algorithm is one of the most extensively used classification algorithms, while its high time complexity limits its performance in…”
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Weighted kNN and constrained elastic distances for time-series classification Autor Geler, Zoltan, Kurbalija, Vladimir, Ivanović, Mirjana, Radovanović, Miloš

“…•The weighted k-nearest neighbor rule outperforms the 1-nearest neighbor classifier.•Recommendations for choosing weighting schemes.•Recommendations for…”
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RNN-DBSCAN: A Density-Based Clustering Algorithm Using Reverse Nearest Neighbor Density Estimates Autor Bryant, Avory, Cios, Krzysztof

“…A new density-based clustering algorithm, RNN-DBSCAN, is presented which uses reverse nearest neighbor counts as an estimate of observation density. Clustering…”
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Face clustering using a novel density peaks clustering algorithm Autor Zhou, Yu, Cheng, Jiaoyang, Long, Jianqiao, Li, Jiguang, Li, Jiaqing, Li, Jichun

“…Face clustering remains a challenging task due to the high intra-class variability and uneven density distributions inherent in real-world face datasets. These…”
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A new fuzzy k-nearest neighbor classifier based on the Bonferroni mean Autor Mailagaha Kumbure, Mahinda, Luukka, Pasi, Collan, Mikael

“…•Two new variants of the k-nearest neighbor classifier are introduced, both use the Bonferroni mean.•The new variants are less sensitive to class imbalances…”
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Centroid mutation-based Search and Rescue optimization algorithm for feature selection and classification Autor Houssein, Essam H., Saber, Eman, Ali, Abdelmgeid A., Wazery, Yaser M.

“…Massive data is generated as a result of technological innovations in various fields. Medical data sets often have extremely complex dimensions with limited…”
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A new two-layer nearest neighbor selection method for kNN classifier Autor Wang, Yikun, Pan, Zhibin, Dong, Jing

“…The k-nearest neighbor (kNN) classifier is a classical classification algorithm that has been applied in many fields. However, the performance of the kNN…”
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Evaluation of surface EMG-based recognition algorithms for decoding hand movements Autor Abbaspour, Sara, Lindén, Maria, Gholamhosseini, Hamid, Naber, Autumn, Ortiz-Catalan, Max

“…Myoelectric pattern recognition (MPR) to decode limb movements is an important advancement regarding the control of powered prostheses. However, this…”
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Synthetic sampling from small datasets: A modified mega-trend diffusion approach using k-nearest neighbors Autor Sivakumar, Jayanth, Ramamurthy, Karthik, Radhakrishnan, Menaka, Won, Daehan

“…Data generation techniques are one of the emerging trends in machine learning in the last decade. Despite huge data availability, small datasets are still an…”
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Feature Selection and Activity Recognition System Using a Single Triaxial Accelerometer Autor Gupta, Piyush, Dallas, Tim

“…Activity recognition is required in various applications such as medical monitoring and rehabilitation. Previously developed activity recognition systems…”
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A generalized mean distance-based k-nearest neighbor classifier Autor Gou, Jianping, Ma, Hongxing, Ou, Weihua, Zeng, Shaoning, Rao, Yunbo, Yang, Hebiao

“…•Propose GMDKNN method.•Design categorical multi-generalized mean distances.•Design categorical nested generalized mean distance for classification. K-nearest…”
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Feature Selection for Optimized High-Dimensional Biomedical Data Using an Improved Shuffled Frog Leaping Algorithm Autor Hu, Bin, Dai, Yongqiang, Su, Yun, Moore, Philip, Zhang, Xiaowei, Mao, Chengsheng, Chen, Jing, Xu, Lixin

“…High dimensional biomedical datasets contain thousands of features which can be used in molecular diagnosis of disease, however, such datasets contain many…”
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Smart power consumption abnormality detection in buildings using micromoments and improved K‐nearest neighbors Autor Himeur, Yassine, Alsalemi, Abdullah, Bensaali, Faycal, Amira, Abbes

“…Anomaly detection in energy consumption is a crucial step towards developing efficient energy saving systems, diminishing overall energy expenditure and…”
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Convolutional Neural Network for Wafer Surface Defect Classification and the Detection of Unknown Defect Class Autor Cheon, Sejune, Lee, Hankang, Kim, Chang Ouk, Lee, Seok Hyung

“…An automatic defect classification (ADC) system identifies and classifies wafer surface defects using scanning electron microscope images. By classifying…”
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Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments Autor Ma, Lingfei, Li, Ying, Li, Jonathan, Tan, Weikai, Yu, Yongtao, Chapman, Michael A.

“…Although significant improvement has been achieved in fully autonomous driving and semantic high-definition map (HD) domains, most of the existing 3D point…”
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Advances in Quantum Computing

“…The field of quantum information science has seen tremendous progress over the last several years, with advances in both hardware development and novel…”
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