Suchergebnisse - "active learning algorithm"

Active learning on stacked machine learning techniques for predicting compressive strength of alkali-activated ultra-high-performance concrete von Kazemi, Farzin, Shafighfard, Torkan, Jankowski, Robert, Yoo, Doo-Yeol

“… Conventional ultra-high performance concrete (UHPC) has excellent development potential. However, a significant quantity of CO 2 is produced throughout the …”
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An optimization-based method of calibrating load and resistance factors: Application to slope and breakwaters’ foundation stability von Doan, Nhu Son, Mac, Van Ha, Dinh, Huu-Ba

“… Monte Carlo simulation (MCS)-based calibrations can accurately determine probabilistic load and resistance factors (LRFs) needed in the limit state designs …”
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Efficient reliability analysis of slopes in spatially variable soils with active learning-assisted bootstrap polynomial chaos expansion von Liao, Kang, Zhao, Xiaoyan, Wu, Yiping, Miao, Fasheng, Pan, Yutao, Beer, Michael

“… Evaluating the reliability of slopes with spatial variability is a challenging issue, especially when the failure probably of the target event is at a low …”
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Network Security Intrusion Detection Methods Combining Optimization Algorithms and Neural Networks von Xia, Lan, Xia, Xuefei

“… Due to the diverse and volatile nature of today's network attacks, it is difficult to achieve satisfactory results using a single detection method. This …”
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Efficient computing technique for reliability analysis of high-dimensional and low-failure probability problems using active learning method von Rajak, Pijus, Roy, Pronab

“… In spite of recent advancements in reliability analysis, high-dimensional and low-failure probability problems remain challenging because many samples and …”
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HALK: A hybrid active-learning Kriging approach and its applications for structural reliability analysis von Zhang, Xufang, Pandey, Mahesh D., Yu, Ruyu, Wu, Zhenguang

“… The paper presents a hybrid active-learning approach for structural reliability analysis via adaptive Kriging surrogate models. The quasi first-order …”
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Fatigue driving detection model based on multi-feature fusion and semi-supervised active learning von Li, Xu, Hong, Lin, Wang, Jian-chun, Liu, Xiang

“… Fatigue driving is one of the main factors of traffic accidents and there are many research efforts focusing on fatigue driving detection. With the extensive …”
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Optimization and performance indication of surrounding gate tunnel field‐effect transistors based on machine learning von Charumathi, V., Balamurugan, N. B., Suguna, M., Kumar, D. Sriram

“… Selecting designs that efficiently optimize multiple objectives simultaneously is an important problem in several distinct industries. Typically, there is not …”
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Multi-category Classification Problem Oriented Subsampling-Based Active Learning Method von Shi, Wei, Feng, Yanghe, Cheng, Guangquan, Liu, Shixuan, Liu, Zhong

“… Traditional active learning methods have achieved gratifying results in the classification tasks of less categories such as binary classification, the …”
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Greedy active learning algorithm for logistic regression models von Hsu, Hsiang-Ling, Chang, Yuan-chin Ivan, Chen, Ray-Bing

“… We study a logistic model-based active learning procedure for binary classification problems, in which we adopt a batch subject selection strategy with a …”
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Active learning combining uncertainty and diversity for multi-class image classification von Gu, Yingjie, Jin, Zhong, Chiu, Steve C

“… In computer vision and pattern recognition applications, there are usually a vast number of unlabelled data whereas the labelled data are very limited. Active …”
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Transmission Line Quality Inspection Using AI von Manaz H, Farhadh, Banu R, Narmatha, B, Kiruthiga, A, Om Prakash

“… This paper presents the application of Artificial Intelligence (AI) techniques for quality inspection of transmission lines. Transmission lines play a crucial …”
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Small sample learning of superpixel classifiers for EM segmentation von Parag, Toufiq, Plaza, Stephen, Scheffer, Louis

“… Pixel and superpixel classifiers have become essential tools for EM segmentation algorithms. Training these classifiers remains a major bottleneck primarily …”
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Study on assistant concept acquisition in domain ontology construction for Chinese texts von Guiping Zhang, Xiaoying Zhang, Peiyan Wang, Dongfeng Cai

“… Concept acquisition is an important part of domain ontology construction, and how to accomplish assistant concept acquisition becomes a research focus. In this …”
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Fast active learning for hyperspectral image classification using extreme learning machine von Pradhan, Monoj K, Minz, Sonajharia, Shrivastava, Vimal K

“… Owing to undulating and complexity of the earth's surface, obtaining the training samples for remote sensing data is time-consuming and expensive. Therefore, …”
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On rater reliability and agreement based dynamic active learning von Yue Zhang, Coutinho, Eduardo, Schuller, Bjorn, Zixing Zhang, Adam, Michael

“… In this paper, we propose two novel Dynamic Active Learning (DAL) methods with the aim of ultimately reducing the costly human labelling work for subjective …”
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