Suchergebnisse - "matrix-factorization algorithm"

A novel computational framework for integrating multidimensional data to enhance accuracy in predicting the prognosis of colorectal cancer von Zhang, Qinran, Xu, Yuhong, Kang, Shiyang, Chen, Junquan, Yao, Zhihao, Wang, Haitao, Wu, Qinian, Zhao, Qi, Zhang, Qihua, Xu, Rui‐hua, Zou, Xiufen, Luo, Huiyan

“… Accurate prognosis prediction is the key to achieving precision treatment and guiding the selection of adjuvant chemotherapy in high‐risk stage II/III …”
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The effects of fatigue on synergy of selected lower limb muscles during running von Hajiloo, Behrouz, Anbarian, Mehrdad, Esmaeili, Hamed, Mirzapour, Mahdi

“… The purpose of this study was to investigate the effect of fatigue on selected lower extremity muscles synergy during running using non-negative matrix …”
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Cross-domain information fusion and personalized recommendation in artificial intelligence recommendation system based on mathematical matrix decomposition von Meng, Xiaoyan

“… Given the challenges of inter-domain information fusion and data sparsity in collaborative filtering algorithms, this paper proposes a cross-domain information …”
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Topological analysis of overlapping dynamic brain networks under naturalistic stimuli based on sparse non-negative matrix factorization algorithm von LIU, Jun-Qi

“… •A local topology is modulated by emotion.•Four cognitive networks are involved. Based on the overlapping hypothesis of human brain networks, the sparse …”
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Consistent control information driven musculoskeletal model for multiday myoelectric control von Zhao, Jiamin, Yu, Yang, Sheng, Xinjun, Zhu, Xiangyang

“… Musculoskeletal model (MM)-based myoelectric interface has aroused great interest in human-machine interaction. However, the performance of electromyography …”
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Novel Distributed Multimedia Recommendation Systems Using Personalized Information von Chang, Shih Yu, Wu, Hsiao-Chun, Yan, Kun, Huang, Scott Chih-Hao, Wu, Yiyan

“… In this paper, we propose a novel distributed multimedia recommendation system (DMRS) to address personalized preference by use of the matrix-sketching …”
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A Parallelization Algorithm of Singular Value Decomposition von Duan, Jianfeng, Cun, Xian’e

“… Matrix factorization algorithm is one of the recommendable algorithms. In order to tackle the inefficiencies of the traditional matrix factorization algorithm …”
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The user-knowledge crowdsourcing task allocation integrated decision model and genetic matrix factorization algorithm von Gao, Li, Gan, Yi, Sun, Mingda, Gao, Liping

“… •EKRS is applied to recommend suitable knowledge modules to scholars.•Crowdsourcing task assignment is applied in UKID.•The genetic matrix factorization …”
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Artificial Intelligence Algorithms for Collaborative Book Recommender Systems von Tegetmeier, Clemens, Johannssen, Arne, Chukhrova, Nataliya

“… Book recommender systems provide personalized recommendations of books to users based on their previous searches or purchases. As online trading of books has …”
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Modification of Hand Muscular Synergies in Stroke Patients after Robot-Aided Rehabilitation von Scotto di Luzio, Francesco, Cordella, Francesca, Bravi, Marco, Santacaterina, Fabio, Bressi, Federica, Sterzi, Silvia, Zollo, Loredana

“… The central nervous system (CNS) is able to control a very high number of degrees of freedom to perform complex movements of both upper and lower limbs …”
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Artificial Intelligence Algorithms for Collaborative Book Recommender Systems von Tegetmeier, Clemens, Johannssen, Arne, Chukhrova, Nataliya

“… Book recommender systems provide personalized recommendations of books to users based on their previous searches or purchases. As online trading of books has …”
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An E-Commerce Personalized Recommendation Algorithm Based on Multiple Social Relationships von Bin, Sheng

“… Environmental e-commerce is a sustainability-oriented e-commerce model. To address the problem of data sparsity and the lack of diversity in traditional …”
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FPGA Implementation of L1/2 Sparsity Constrained Nonnegative Matrix Factorization Algorithm for Remotely Sensed Hyperspectral Image Analysis von Guda, Mostafa, Gasser, Safa, El-Mahallawy, Mohamed S., Shehata, Khaled

“… Remotely sensed hyperspectral images provide data of the earth's surface components. The data provided is collected through airborne devices such as satellites …”
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Federated Multimedia Recommendation Systems with Privacy Protection von Chang, Shih Yu, Wu, Hsiao-Chun, Yan, Kun, Huang, Scott Chih-Hao, Wu, Yiyan

“… In this big data era, distributed machine learning and global data pooling have become quite critical in practical implementation of any multimedia …”
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A Perspective on Muscle Synergies and Different Theories Related to Their Adaptation von Abd, Ashar Turky, Singh, Rajat Emanuel, Iqbal, Kamran, White, Gannon

“… The human motor system is a complex neuro-musculo sensory system that needs further investigations of neuro-muscular commands and sensory-motor coupling to …”
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Distributed Bayesian Probabilistic Matrix Factorization von Vander Aa, Tom, Chakroun, Imen, Haber, Tom

“… Using the matrix factorization technique in machine learning is very common mainly in areas like rec-ommender systems. Despite its high prediction accuracy and …”
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Nonnegative Matrix Factorization Algorithm with Two Attribute Matrices for Community Detection von Zhao, Yingying, Xu, Hui, Zhou, Cheng

“… Community detection based on nonnegative matrix factorization (NMF) has the advantages of clear physical meaning, simple calculation and strong …”
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SMURFF: a High-Performance Framework for Matrix Factorization von Vander Aa, Tom, Chakroun, Imen, Ashby, Thomas J.

“… Bayesian Matrix Factorization (BMF) is a powerful technique for recommender systems because it produces good results and is relatively robust against …”
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Normalized Matrix Factorization with Implicit FeedBack and Baseline Predictor von Hao, Yumeng, Ma, Wenming

“… The traditional matrix factorization algorithm has the problems of cold start, data sparsity and high predictive time complexity, which is not perfect in most …”
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Exploring Parallel Implementations of the Bayesian Probabilistic Matrix Factorization von Chakroun, Imen, Haber, Tom, Aa, Tom Vander, Kovac, Thomas

“… Using the matrix factorization technique in machine learning is very common mainly in areas like recommender systems. Despite its high prediction accuracy and …”
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