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Semi-supervised fuzzy broad learning system based on mean-teacher model
Fuzzy broad learning system (FBLS) is a newly proposed fuzzy system, which introduces Takagi–Sugeno fuzzy model into broad learning system. It has...
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Hyperspectral image classification via active learning and broad learning system
Hyperspectral image (HSI) classification has continued to be a hot research topic in recent years, and the broad learning system (BLS) has been...
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Privacy-preserving vertical federated broad learning system for artificial intelligence generated image content
Artificial intelligence generated image content generates desired image content according to given instructions. It is widely applied in digital...
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A Graph-Based Vertical Federation Broad Learning System
A broad learning system is a lightweight deep neural network with breadth expansion, which is widely used in face recognition, error detection, and...
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Broad Learning System Based on Fusion Features
Multimodal fusion is the integration of data from different modalities according to the principle of optimality to produce more reliable perception...
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A stacked broad learning system with multitask learning method for cellular wireless network traffic prediction
With the development of 5G networks, cellular wireless networks are becoming more diverse and intelligent. As an important part of intelligent...
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Intrusion detection of manifold regularized broad learning system based on LU decomposition
Broad Learning System (BLS) is proposed as an alternative to deep learning. It has a fast adaptive model selection and online incremental learning...
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Facial beauty prediction fusing transfer learning and broad learning system
Facial beauty prediction (FBP) is an important and challenging problem in the fields of computer vision and machine learning. Not only it is easily...
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Programmable broad learning system for baggage threat recognition
Detecting illegal and harmful objects in baggage at airports, subways, and bus stations has always been a difficult task that requires intense focus...
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Sound Source Localization Algorithm of Microphone Array Based on Incremental Broad Learning System
Sound source localization is a technique that utilizes microphone arrays to detect the position of sound sources. It has a wide range of applications...
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Robust discriminative broad learning system for hyperspectral image classification
With the advantages of simple structure and fast training speed, broad learning system (BLS) has attracted attention in hyperspectral images (HSIs)....
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Hermite broad-learning recurrent neural control with adaptive learning rate for nonlinear systems
Although conventional control systems are simple and widely used, they may not be effective for complex and uncertain systems. This study proposes a...
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TransBLS: transformer combined with broad learning system for facial beauty prediction
Facial beauty prediction (FBP) is a frontier topic in the fields of machine learning and computer vision, focusing on how to enable computers to...
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Double-kernelized weighted broad learning system for imbalanced data
Broad learning system (BLS) is an emerging neural network with fast learning capability, which has achieved good performance in various applications....
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Broad learning system based on the quantized minimum error entropy criterion
The broad learning system (BLS) based on the minimum mean square error (MMSE) criterion can achieve outstanding performance without spending too much...
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Network intrusion detection via tri-broad learning system based on spatial-temporal granularity
Network intrusion detection system plays a crucial role in protecting the integrity and availability of sensitive assets, where the detected traffic...
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A decomposition-ensemble broad learning system for AQI forecasting
The combination of decomposition algorithms and prediction models is a common structure for air quality time series forecasting. In this study, we...
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H-BLS: a hierarchical broad learning system with deep and sparse feature learning
Broad learning system (BLS) is an emerging machine learning algorithm with high efficiency and good approximation capability. It has been proved that...
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A Broad Learning System Based on the Idea of Vertical Federated Learning
As a new type of deep neural network, the broad learning system has been attracting attention since it was proposed. It shows good performance in...
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Broad learning system based ensemble deep model
Broad learning system (BLS) demonstrates a novel structure of neural networks based on random vector functional link network (RVFL), which has a...
