Search Results - "Semi-supervised algorithm"

Seeded Sequential LDA: A Semi-Supervised Algorithm for Topic-Specific Analysis of Sentences by Watanabe, Kohei, Baturo, Alexander

“…Topic models have been widely used by researchers across disciplines to automatically analyze large textual data. However, they often fail to automate content…”
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An immune-inspired semi-supervised algorithm for breast cancer diagnosis by Peng, Lingxi, Chen, Wenbin, Zhou, Wubai, Li, Fufang, Yang, Jin, Zhang, Jiandong

“…•We investigate an immune-inspired semi-supervised learning algorithm to reduce the need for labeled data.•Experimental results prove that our algorithm is a…”
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A similarity-based semi-supervised algorithm for labeling unlabeled text data by Potshangbam, Kirankumar Singh, Singh, Kshetrimayum Nareshkumar

“…This paper presents a novel, non-iterative semi-supervised learning algorithm that leverages cosine similarity between document vectors and class mean vectors…”
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Ultraviolet-induced fluorescence of oil spill recognition using a semi-supervised algorithm based on thickness and mixing proportion-emission matrices by Gong, Bowen, Zhang, Hongji, Wang, Xiaodong, Lian, Ke, Li, Xinkai, Chen, Bo, Wang, Hanlin, Niu, Xiaoqian

“…In recent years, marine oil spill accidents have been occurring frequently during extraction and transportation, and seriously damage the ecological balance…”
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A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification by Orlandic, Lara, Teijeiro, Tomas, Atienza, David

“…Background and Objective: Cough audio signal classification is a potentially useful tool in screening for respiratory disorders, such as COVID-19. Since it is…”
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Semi-Supervised Algorithm SoftMatch for UWB Channel State Identification Based on Continuous Wavelet Transform and Gramian Angular Field by Li, Ziyi, Zheng, Wei, Feng, Baiju

“…Ultra-wideband (UWB) technology, with its strong penetration capability and high time resolution, has become a popular wireless positioning method widely used…”
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Well-log facies classification using an active semi-supervised algorithm with pairwise constraints by Xie, Wei, Spikes, Kyle T

“…SUMMARY We present a technique for lithofacies classification of well-log data using an active semi-supervised algorithm…”
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Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm by Maximov, Yury, Amini, Massih-Reza, Harchaoui, Zaid

“…We propose Rademacher complexity bounds for multi-class classifiers trained with a two-step semi-supervised model. In the first step, the algorithm partitions…”
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Enhanced interpolation with semi-supervised algorithm and greedy forwarding technique for forest fire prediction over wireless sensor and actuator networks by Ananthi, J., Sengottaiyan, N., Anbukaruppusamy, S.

“…Automatically increases the danger of starting fires due to global warming, and the number of forest fires is growing. Natural disasters are a regular…”
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Adaptive Semi-Supervised Algorithm for Intrusion Detection and Unknown Attack Identification by Li, Meng, Luo, Lei, Xiao, Kun, Wang, Geng, Wang, Yintao

“…Intrusion detection systems face significant challenges, including the inability to detect unknown threats and imbalances between normal and anomalous traffic…”
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A Constrained Graph-Based Semi-Supervised Algorithm Combined with Particle Cooperation and Competition for Hyperspectral Image Classification by He, Ziping, Xia, Kewen, Li, Tiejun, Zu, Baokai, Yin, Zhixian, Zhang, Jiangnan

“… Here, we proposed a novel graph-based semi-supervised algorithm combined with particle cooperation and competition, which can improve the model performance effectively by using unlabeled samples…”
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Methodology of semi-supervised algorithm selection for classification problems by V, Sineglazov, K, Lesohorskyi

“… In this paper, we provide an overview of four primary semi-supervised assumptions, introduce the definition of metrics used to evaluate the assumption, provide a taxonomy of common semi-supervised…”
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Rough set and ensemble learning based semi-supervised algorithm for text classification by Shi, Lei, Ma, Xinming, Xi, Lei, Duan, Qiguo, Zhao, Jingying

“…► A novel semi-supervised classification algorithm based on tolerance rough set and ensemble learning is proposed. ► Tolerance rough set theory is introduced…”
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A new hybrid semi-supervised algorithm for text classification with class-based semantics by Altınel, Berna, Ganiz, Murat Can

“…Vector Space Models (VSM) are commonly used in language processing to represent certain aspects of natural language semantics. Semantics of VSM comes from the…”
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A new ensemble self-labeled semi-supervised algorithm by Livieris, Ioannis E.

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A novel semi-supervised algorithm for the taxonomic assignment of metagenomic reads by Le, Vinh Van, Tran, Lang Van, Tran, Hoai Van

“…Background Taxonomic assignment is a crucial step in a metagenomic project which aims to identify the origin of sequences in an environmental sample. Among the…”
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A dynamic anomaly detection method of building energy consumption based on data mining technology by Lei, Lei, Wu, Bing, Fang, Xin, Chen, Li, Wu, Hao, Liu, Wei

“…Due to the equipment failure and inappropriate operation strategy, it is often difficult to achieve energy-efficient building. Anomaly detection of building…”
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Study of Deep Learning Approach for Improving Semi-Supervised Algorithm by Sahu, Hemlata P, Kashyap, Ramgopal

“…When trained on the extensive collections of labeled data, Deep neural networks have demonstrated their potential for a good variety of supervised learning…”
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A Semi-supervised Algorithm for Atrial Fibrillation Attack Prediction Using Convolution Auto-encoder of Time Series Signal by Jiang, Yuchen, Zheng, Peirong, Lai, Dakun

“…During the initial stages, atrial fibrillation (AF) typically presents as paroxysmal atrial fibrillation (PAF), which may further progress into persistent…”
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Parametric Fault Diagnosis of Analog Circuits Based on a Semi-Supervised Algorithm by Wang, Ling, Zhou, Dongfang, Tian, Hui, Zhang, Hao, Zhang, Wei

“…The parametric fault diagnosis of analog circuits is very crucial for condition-based maintenance (CBM) in prognosis and health management. In order to improve…”
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