Search Results - "Semi-supervised learning algorithm"

A semi-supervised learning algorithm for multi-label classification and multi-assignment clustering problems based on a Multivariate Data Analysis by Gull, Carlos Quintero, Aguilar, Jose

“…Classically, in classification and clustering problems, an individual is exclusively assigned to a class (labeled data) or a cluster (unlabeled data). However,…”
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An enhanced graph-based semi-supervised learning algorithm to detect fake users on Twitter by BalaAnand, M., Karthikeyan, N., Karthik, S., Varatharajan, R., Manogaran, Gunasekaran, Sivaparthipan, C. B.

“…Over the the past decade, social networking services (SNS) have proliferated on the web. The nature of such sites makes identity deception easy, providing a…”
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KISL: knowledge-injected semi-supervised learning for biological co-expression network modules by Xiao, Gangyi, Guan, Renchu, Cao, Yangkun, Huang, Zhenyu, Xu, Ying

“…The exploration of important biomarkers associated with cancer development is crucial for diagnosing cancer, designing therapeutic interventions, and…”
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Semi-supervised emotion recognition in textual conversation via a context-augmented auxiliary training task by Kang, Liangyi, Liu, Jie, Liu, Lingqiao, Zhou, Zhiyang, Ye, Dan

“…Recognizing emotions in textual conversations (ERC) is to identify the emotion of utterances by considering conversational context. Current supervise-based ERC…”
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Laser Point Cloud-Image Fusion Technology for Intelligent Driving Vehicles Based on Semi-Supervised Learning Algorithm by Lan, Jianping, Dong, Xiujuan

“…In autonomous vehicle, the traditional method of manually labeling laser point cloud data is not only expensive, but also complex in process. To overcome these…”
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An Active Semi-Supervised Learning for Object Detection by Zhao, Yu, Yang, Yingyun, Chen, Sijin

“…The rapid progress in deep learning technology has rendered extensive annotated datasets indispensable for augmenting algorithmic performance. However,…”
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A Semi-Supervised Learning Algorithm for Brain-Computer Interface Based on Combining Features by Meichun Liu, Min Zhao

“…A brain-computer interface (BCI) is a communication system that doesnpsilat depend on brain's normal output pathways of peripheral nerves and muscles. In this…”
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Label propagation based on local information with adaptive determination of number and degree of neighbor׳s similarity by Saffari, Seyed Alireza, Ebrahimi-Moghadam, Abbas

“…In many practical applications of machine vision, a small number of samples are labeled and therefore, classification accuracy is low. On the other hand,…”
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Label propagation based on local information with adaptive determination of number and degree of neighbor's similarity by Saffari, Seyed Alireza, Ebrahimi-Moghadam, Abbas

“…In many practical applications of machine vision, a small number of samples are labeled and therefore, classification accuracy is low. On the other hand,…”
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Research on the Application of Health Big Data based on Semi-Supervised Learning Algorithm by Ma, Qian

“…The role of health big data in medical health is very important, but there is the problem of inaccurate data. Traditional methods cannot solve the problem of…”
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Analysis of Benchmarks by Olivier, Chapelle, Alexander, Zien, Bernhard, Schölkopf

“…This chapter assesses the strengths and weaknesses of different semi-supervised learning (SSL) algorithms through inviting the authors of each chapter in this…”
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