Search Results - Multiple gradient descent algorithm Common descent vector

A stochastic multiple gradient descent algorithm by Mercier, Quentin, Poirion, Fabrice, Désidéri, Jean-Antoine

“… The present method is based on an extension of the classical stochastic gradient algorithm and a deterministic multiobjective algorithm, the Multiple Gradient Descent Algorithm (MGDA…”
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Detecting malicious nodes via gradient descent and support vector machine in Internet of Things by Liu, Liang, Yang, Jingxiu, Meng, Weizhi

“… To solve this issue, we formulate it as a multivariate multiple linear regression problem and use the K-means classification algorithm to detect malicious nodes…”
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MARG Attitude Estimation Using Gradient-Descent Linear Kalman Filter by Wu, Jin

“… In this article, we report our new advances on related fusion algorithm based on the gradient-descent algorithm (GDA…”
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Generative adversarial networks with stochastic gradient descent with momentum algorithm for video-based facial expression by Cherian, Aswathy K., Vaidhehi, M., Arshey, M., Briskilal, J., Simpson, Serin V.

“… Both of these examples are examples of how video data can be used. It is becoming increasingly common practice across a wide range of applications to use a machine learning appliance as a tool for processing video…”
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Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data by Fisher, Zachary F., Kim, Younghoon, Fredrickson, Barbara L., Pipiras, Vladas

“… To accomplish this, we propose a novel proximal gradient descent algorithm for solving…”
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Descent algorithm for nonsmooth stochastic multiobjective optimization by Poirion, Fabrice, Mercier, Quentin, Désidéri, Jean-Antoine

“… The proposed method is an extension of the classical stochastic gradient algorithm to multiobjective optimization using the properties of a common descent vector defined in the deterministic context…”
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Human lung cancer classification and comprehensive analysis using different machine learning techniques by Priyadarshini, K., Ali, S. Ahamed, Sivanandam, K., Alagarsamy, Manjunathan

“…Lung cancer is the most common causes of death among all cancer‐related diseases. A lung scan examination of the patient is the primary diagnostic technique…”
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Non-convex multiobjective optimization under uncertainty: a descent algorithm. Application to sandwich plate design and reliability by Mercier, Q., Poirion, F., Désidéri, J. A.

“… The algorithm is based on the existence of a common descent vector for each sample of the random objective functions and on an extension of the stochastic gradient algorithm…”
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Survival parametric modeling for patients with heart failure based on Kernel learning by Montaseri, Maryam, Rezaei, Mansour, Khayati, Armin, Mostafaei, Shayan, Taheri, Mohammad

“… for clinical data to effectively integrate kernel learning with AFT model using a gradient descent optimization strategy…”
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Predicting antifreeze proteins with weighted generalized dipeptide composition and multi-regression feature selection ensemble by Wang, Shunfang, Deng, Lin, Xia, Xinnan, Cao, Zicheng, Fei, Yu

“…) and an ensemble feature selection based on two-stage and multi-regression method (LRMR-Ri) are proposed. Specifically, four feature selection algorithms…”
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Image Classification of Wheat Rust Based on Ensemble Learning by Pan, Qian, Gao, Maofang, Wu, Pingbo, Yan, Jingwen, AbdelRahman, Mohamed A. E.

“… on bagging, snapshot ensembling, and the stochastic gradient descent with warm restarts (SGDR) algorithm. The identification results of the WR-EL method were compared to those of five individual CNN models…”
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Energy-Efficient Transmission Strategy for UAV-RIS 2.0 Assisted Communications Using Rate Splitting Multiple Access by Huroon, Aamer Mohamed, Huang, Yu-Chih, Wang, Li-Chun

“… 2.0, and multiple unmanned aerial vehicles (UAVs). The motivation behind this work stems from the critical need to enhance energy efficiency in next-generation…”
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Faster Convergence With Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning Over Wireless Networks by Perez Herrera, Daniel, Chen, Zheng, Larsson, Erik G.

“…Decentralized stochastic gradient descent (D-SGD) is a widely adopted optimization algorithm for decentralized training of machine learning models across networked agents…”
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A lightweight method for evaluating the husking rate of rice using an optimized YOLOv5 model by Zhang, Shixiong, Li, Xingchong, Ren, Jianxin, Li, Ang

“… algorithm based on YOLOv5s is proposed. First, the image dataset is augmented to improve the detection capability of the YOLOv5_Get Small (YOLOv5s_GS…”
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Incorporating manifold regularization into adaptive label thresholding algorithm for online semi-supervised multi-label classification by Fang, Nannan, Zhai, Tingting

“…Online multi-label classification aims to assign multiple appropriate categories to arriving instances…”
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Model selection for primal SVM by Moore, Gregory, Bergeron, Charles, Bennett, Kristin P.

“… The proposed implicit primal gradient descent (ImpGrad) method can utilize existing SVM solvers…”
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A Vehicle Detection Method Based on Convolutional Neural Network Optimized by Genetic Algorithm by Sun, Qingqing

“…This manuscript introduces an advanced vehicle target detection algorithm which leverages the integration of improved underside shadow characteristics with a Convolutional Neural Network (CNN…”
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Joint rate splitting and beamforming design for RSMA-enabled STAR-RIS-assisted ISAC system by Chen, Yutan, Wang, Ze, Mo, Minghui, Xu, Hongbo, Zhou, Aizhi

“… functions, but also mitigate interference among users. Specifically, this paper aims to maximize the achievable sum rate by jointly optimizing the common stream rate allocation vector, the active beamforming matrix at the base station (BS…”
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Large-margin classification with multiple decision rules by Kimes, Patrick K., Hayes, David Neil, Marron, J. S., Liu, Yufeng

“…Binary classification is a common statistical learning problem in which a model is estimated on a set of covariates for some outcome, indicating the membership of one of two classes…”
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Recipe Recommendation for the Elderly Based on Collaborative Filtering Algorithm and Neural Network by Zhou, Qianyi

“… a collaborative filtering neural network. In order to further improve the cold start of common collaborative filtering algorithm and the insufficient ability to process sparse…”
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