Search Results - "Multi-task learning algorithm"

Multi-task learning algorithm design and implementation strategy for intelligent police academy management system

Authors: Zemin Qin

Source: Applied Mathematics and Nonlinear Sciences. 10

Application Analysis of Multi-Task Learning Algorithm in E-Commerce Personalized Advertising Intelligent Push

Authors: Min Hou Mengze Zhang Yizhou Zhang

Source: The International Arab Journal of Information Technology. 22

Residual networks using multi-task learning algorithm for near-infrared spectroscopy: A case study

Authors: Tianhong Pan Zhengtao Xi Jiaqiang Tian et al.

Source: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 333:125866

Access URL: https://pubmed.ncbi.nlm.nih.gov/39933483

MultiTL-KELM: A multi-task learning algorithm for multi-step-ahead time series prediction

Authors: Rui Ye Qun Dai

Source: Applied Soft Computing. 79:227-253

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://www.sciencedirect.com/science/article/pii/S1568494619301656
https://dblp.uni-trier.de/db/journals/asc/asc79.html#YeD19
https://doi.org/10.1016/j.asoc.2019.03.039

A HIERARCHICAL DOMAIN-ADVERSARIAL AND MULTI-TASK LEARNING ALGORITHM FOR BRIDGE DAMAGE DIAGNOSIS USING A DRIVE-BY VEHICLE

Authors: JINGXIAO LIU SUSU XU MARIO BERGÉS et al.

Source: Proceedings of the 13th International Workshop on Structural Health Monitoring.

An Online Multi-Task Learning Algorithm Based on Weight Matrix Decomposition

Authors: ZHANG Wenjin

Source: Jisuanji gongcheng, Vol 45, Iss 8, Pp 190-197 (2019)

Subject Terms: multi-task learning(mtl), weight matrix, correlative structure, personalized patterns, sub-linear regret, Computer engineering. Computer hardware, TK7885-7895, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://www.ecice06.com/fileup/1000-3428/PDF/20190832.pdf; https://doaj.org/toc/1000-3428

Access URL: https://doaj.org/article/3a85e6d65cd84c208d9c8f09385e4221

Using local constraints for multi-task learning algorithm.

Authors: Sugiyama, Masashi

Index Terms: Conference Paper., NA.

URL: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100611629

MultiTL-KELM: A multi-task learning algorithm for multi-step-ahead time series prediction.

Authors: Ye, Rui Dai, Qun

Source: Applied Soft Computing. Jun2019, Vol. 79, p227-253. 27p.

Subject Terms: Time series analysis, Computer multitasking, Machine learning, Algorithms

Using local constraints for multi-task learning algorithm

Source: Using local constraints for multi-task learning algorithm.. :1467-1474

A Multi-task Learning Algorithm for Pattern Recognition

Authors: Keyu Zhang Seiichi Ozawa 小澤 誠一 et al.

Source: Proceedings of the Japan Joint Automatic Control Conference. 2006, :369

Multi-output support vector machine for regional multi-step-ahead PM2.5 forecasting

Authors: Yanlai Zhou Fi-John Chang Li-Chiu Chang et al.

Source: Science of The Total Environment. 651:230-240

Subject Terms: 13. Climate action, Multi-output SVM, Multi-task learning algorithm, Multi-step-ahead forecast, PM2.5 concentrations, Taipei City, 11. Sustainability, 01 natural sciences, 0105 earth and related environmental sciences

File Description: 113 bytes; text/html

Access URL: https://pubmed.ncbi.nlm.nih.gov/30243160
https://trid.trb.org/view/1543185
https://www.ncbi.nlm.nih.gov/pubmed/30243160
https://www.sciencedirect.com/science/article/pii/S0048969718335538
https://pubmed.ncbi.nlm.nih.gov/30243160/
https://ui.adsabs.harvard.edu/abs/2019ScTEn.651..230Z/abstract

Using local constraints for multi-task learning algorithm.

Authors: Kato, T. Kashima, H. 杉山 将 et al.

Relation: oai:t2r2.star.titech.ac.jp:50117375

Availability: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100611629

Dynamic energy management and control of networked microgrids based on load to grid services and incentive-based demand response programs: A multi-agent deep reinforcement learning approach.

Authors: Seylab, Masoumeh Rezazadeh Naderi, Mehdi S. Gharehpetian, Gevork B.

Source: Sustainable Cities & Society. Dec2024, Vol. 117, pN.PAG-N.PAG. 1p.

Subject Terms: Deep reinforcement learning, Machine learning, Energy industries, Telecommunication systems, Voltage control

Universal Speaker Embedding Free Target Speaker Extraction and Personal Voice Activity Detection

Authors: Zeng, Bang Li, Ming

Index Terms: Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound, text

URL: http://arxiv.org/abs/2501.03612

Predicting pathological staging of non-small cell lung cancer using a multi-task radiomics model integrating intratumoral and peritumoral features.

Authors: Pan, Ruonan Lu, Xiaoqian Dong, Xin et al.

Source: Oncology Letters; Sep2025, Vol. 30 Issue 3, pN.PAG-N.PAG, 1p

Subject Terms: NON-small-cell lung carcinoma, RADIOMICS, COMPUTED tomography, MACHINE learning, TREATMENT effectiveness, TUMOR classification

A new deep belief network-based multi-task learning for diagnosis of Alzheimer's disease.

Authors: Zeng, Nianyin Li, Han Peng, Yonghong

Source: Neural Computing & Applications; Jun2023, Vol. 35 Issue 16, p11599-11610, 12p

Subject Terms: ALZHEIMER'S disease, DEEP learning, MACHINE learning, MILD cognitive impairment, PRINCIPAL components analysis, FEATURE selection

Deep Mixture of Diverse Experts for Large-Scale Visual Recognition.

Authors: Zhao, Tianyi Chen, Qiuyu Kuang, Zhenzhong et al.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; May2019, Vol. 41 Issue 5, p1072-1087, 16p

Subject Terms: MACHINE learning, ARTIFICIAL intelligence, IMAGE processing, ATOMIC layer deposition, X-ray diffraction

Advanced Biostatistical Machine Learning for Complex Biomedical Data: Causal Dose-Response Curve Estimation, ICU EHR Bias and Missing Data Evaluation, and Cancer-Drug Biclustering and Response Prediction

Authors: Hubbard, Alan Huang, Haiyan Shi, Junming

Index Terms: Biostatistics, Biclustering, Cancer-Drug Response, Causal Dose-Response Curve Estimation, Missing Data Evaluation, publication

URL: https://escholarship.org/uc/item/41g2m9rz
https://escholarship.org/content/qt41g2m9rz/qt41g2m9rz.pdf

Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits

Authors: Lin, Jiabin Moothedath, Shana Vaswani, Namrata

Index Terms: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2410.02068

Personalized Multi-task Training for Recommender System

Authors: Yang, Liangwei Liu, Zhiwei Zhang, Jianguo et al.

Index Terms: Computer Science - Information Retrieval, text

URL: http://arxiv.org/abs/2407.21364