Suchergebnisse - Machine learning combinatorial algorithms

Town gas daily load forecasting based on machine learning combinatorial algorithms: A case study in North China von Xu, Peng, Song, Yuwei, Du, Jingbo, Zhang, Feilong

“… of temperature and a set of combined forecasting models for gas load forecasting based on machine learning …”
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Combinatorial Optimization Machine Learning Algorithms and Statistical Modeling in Genomics von Le, Thong

“… The dissertation contains a broad set of algorithmic questions that arise in machine learning and combinatorics …”
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Failure analysis and control of natural gas pipelines under excavation impact based on machine learning scheme von Xu, Duo, Chen, Liqiong, Yu, Chang, Zhang, Sen, Zhao, Xiang, Lai, Xin

“… In this work, finite element analysis is combined with machine learning algorithms. The finite element analysis process derives the critical loads for different failure modes of the pipe …”
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Machine Learning Algorithms for Combinatorial Optimization von Liu, Defeng

“… In recent years, the application of Machine Learning (ML) techniques in CO became an emerging research area …”
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Bridging Learning and Optimization: Advanced Algorithms for Combinatorial and Stochastic Optimization in Power Systems and Machine Learning von Qin, Jingtao

“… Combinatorial optimization and stochastic optimization serve as foundational methodologies in decision-making processes for modern power systems …”
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Combinatorial Algorithms in Machine Learning von Shaw, Peter

“… I will show how data could be clustered using entirely combinatorial techniques where Gini Index or Mean Squared Error receive no mention whatsoever …”
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Reinforcement learning enhanced quantum-inspired algorithm for combinatorial optimization von Beloborodov, Dmitrii, Ulanov, A E, Foerster, Jakob N, Whiteson, Shimon, Lvovsky, A I

“… Quantum hardware and quantum-inspired algorithms are becoming increasingly popular for combinatorial optimization …”
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A combinatorial evolutionary algorithm for unrelated parallel machine scheduling problem with sequence and machine-dependent setup times, limited worker resources and learning effect von Zhang, Like, Deng, Qianwang, Lin, Ruihang, Gong, Guiliang, Han, Wenwu

“… •A combinatorial evolutionary algorithm is presented to solve the model.•The makespan and total energy consumption are optimized simultaneously …”
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A comparative study of the leading machine learning techniques and two new optimization algorithms von Baumann, P., Hochbaum, D.S., Yang, Y.T.

“… •First thorough analysis of combinatorial optimization algorithms for machine learning …”
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Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy von Hai, Tao, Basem, Ali, Alizadeh, As’ad, Singh, Pradeep Kumar, Rajab, Husam, Maatki, Chemseddine, Becheikh, Nidhal, Kolsi, Lioua, Singh, Narinderjit Singh Sawaran, Maleki, H.

“… Three machine learning techniques—GMDH-type neural network, gene expression programming, and combinatorial algorithm …”
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Machine learning for combinatorial optimization: A methodological tour d’horizon von Bengio, Yoshua, Lodi, Andrea, Prouvost, Antoine

“… •This paper surveys the recent attempts, both from the machine learning and operations research communities, at leveraging machine learning to solve combinatorial optimization problems …”
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Noisy intermediate-scale quantum algorithms von Bharti, Kishor, Cervera-Lierta, Alba, Kyaw, Thi Ha, Haug, Tobias, Alperin-Lea, Sumner, Anand, Abhinav, Degroote, Matthias, Heimonen, Hermanni, Kottmann, Jakob S., Menke, Tim, Mok, Wai-Keong, Sim, Sukin, Kwek, Leong-Chuan, Aspuru-Guzik, Alán

“… In the search for achieving quantum advantage with these devices, algorithms have been proposed for applications in various disciplines spanning physics, machine learning, quantum chemistry …”
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Extensive evaluation of machine learning models and data preprocessings for Raman modeling in bioprocessing von Poth, Michaela, Magill, Gordon, Filgertshofer, Alois, Popp, Oliver, Großkopf, Tobias

“… preprocessing of the raw Raman spectra. In this study, we present an extensive combinatorial assessment of various machine learning algorithms with numerous popular preprocessing methods on the performance and robustness of Raman‐based real …”
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A distributed message passing algorithm for the capacitated directed Chinese postman problem von Dai, Guowei, Sun, Yuefang, Zhang, Xiaoyan, Zhao, Yan

“… As a prototypical message-passing algorithm, belief propagation (BP) algorithm has wide applications in various fields of coding theory, machine learning and combinatorial optimization …”
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A Review: Machine Learning for Combinatorial Optimization Problems in Energy Areas von Yang, Xinyi, Wang, Ziyi, Zhang, Hengxi, Ma, Nan, Yang, Ning, Liu, Hualin, Zhang, Haifeng, Yang, Lei

“… Traditional approaches for COPs suffer from high computational time and reliance on expert knowledge, and machine learning (ML …”
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MiYA, an efficient machine-learning workflow in conjunction with the YeastFab assembly strategy for combinatorial optimization of heterologous metabolic pathways in Saccharomyces cerevisiae von Zhou, Yikang, Li, Gang, Dong, Junkai, Xing, Xin-hui, Dai, Junbiao, Zhang, Chong

“… %) of combinatorial space to precisely tune the expression level of each gene with a machine-learning algorithm of an artificial neural network (ANN …”
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Diagnosis and Prognosis of Non-small Cell Lung Cancer based on Machine Learning Algorithms von Zhou, Yiyi, Dong, Yuchao, Sun, Qinying, Fang, Chen

“… The diagnostic markers were further investigated by multiple machine learning algorithms (least absolute shrinkage and selection operator (LASSO …”
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Integrating multi-cohort machine learning and clinical sample validation to explore peripheral blood mRNA diagnostic biomarkers for prostate cancer von Zhong, Xingyu, Yang, Yuxuan, He, Haodong, Xiong, Yifan, Zhong, Mingliang, Wang, Shaogang, Xia, Qidong

“… Methods We integrated 12 machine learning algorithms to construct 113 combinatorial models, screening and validating an optimal PCa diagnostic …”
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Optoelectronic system and device integration for quantum-dot light-emitting diode white lighting with computational design framework von Samarakoon, Chatura, Choi, Hyung Woo, Lee, Sanghyo, Fan, Xiang-Bing, Shin, Dong-Wook, Bang, Sang Yun, Jo, Jeong-Wan, Ni, Limeng, Yang, Jiajie, Kim, Yoonwoo, Jung, Sung-Min, Occhipinti, Luigi G., Amaratunga, Gehan A. J., Kim, Jong Min

“… The quantum dot of the white lighting system has been optimised by a system-level combinatorial colour optimisation process with the Nelder-Mead algorithm used for machine learning …”
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Constructing a bladder cancer prognostic model related to exosome using machine learning and identifying THBS1 as a potential target von Shen, Huilong, Zheng, Fuchun, Tang, Xiao, Ma, Zifang, Tao, Xueting, Deng, Zhaojin, Yao, Zhijun

“… Methods We implemented ten machine learning algorithms with eighty-one combinatorial configurations to analyze BCa transcriptomic data …”
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