Výsledky vyhledávání - Learning-augmented algorithms*

Machine Learning-Augmented Algorithms: Theory and Applications in Energy and Sustainability Autor Christianson, Nicolas Henry

“…Uncertainty poses a significant challenge for decision-makers in energy and sustainability domains. The ongoing energy transition—characterized by increasing…”
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Data‐Augmented Deep Learning Algorithm for Accurate Control of Bioethanol Fermentation Using an Online Raman Analyzer Autor Ji, Kaidi, Yu, Xiaofei, Chen, Lifan, Wang, Yongbo, Guo, Zhiqiang, Chen, Biao, Li, Qingyang, Li, Zhen, Zhang, Hu, Wang, Guan, Zhuang, Yingping, Ruan, Yinlan

“…ABSTRACT Fed‐batch fermentation has become the preferred strategy in many industrial biomanufacturing processes. However, a key challenge remains in optimizing…”
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Learning-augmented algorithms for online subset sum Autor Xu, Chenyang, Zhang, Guochuan

“… It is thus of great interest to improve the performance bounds for both deterministic and randomized algorithms, assuming predicted information is available in the learning-augmented model…”
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Augmented Reality for Learning Algorithms: Evaluation of Its Impact on Students’ Emotions Using Artificial Intelligence Autor Gómez-Ríos, Mónica, Paredes-Velasco, Maximiliano, Velázquez-Iturbide, J., Martínez, Miguel

“… This article inquires about the impact on students’ emotions of an augmented reality tool for learning Dijkstra’s algorithm…”
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Research on Intelligent Recommendation of Computer Course Items Combining Augmented Learning Algorithms and Data Mining Techniques Autor Zhao, Yanfei, Jing, Xia, Guo, Hongjian

“…This paper combines augmented learning algorithms and data mining techniques for an intelligent recommendation system for computer course projects to optimize the allocation of learning resources…”
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Development and validation of machine learning-augmented algorithm for insulin sensitivity assessment in the community and primary care settings: a population-based study in China Autor Zhang, Hao, Zeng, Tianshu, Zhang, Jiaoyue, Zheng, Juan, Min, Jie, Peng, Miaomiao, Liu, Geng, Zhong, Xueyu, Wang, Ying, Qiu, Kangli, Tian, Shenghua, Liu, Xiaohuan, Huang, Hantao, Surmach, Marina, Wang, Ping, Hu, Xiang, Chen, Lulu

“… This study aims to develop and validate machine learning (ML)-augmented algorithms for insulin sensitivity assessment in the community and primary care settings…”
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Development and validation of a machine learning-augmented algorithm for diabetes screening in community and primary care settings: A population-based study Autor Liu, XiaoHuan, Zhang, Weiyue, Zhang, Qiao, Chen, Long, Zeng, TianShu, Zhang, JiaoYue, Min, Jie, Tian, ShengHua, Zhang, Hao, Huang, Hantao, Wang, Ping, Hu, Xiang, Chen, LuLu

“…Opportunely screening for diabetes is crucial to reduce its related morbidity, mortality, and socioeconomic burden. Machine learning (ML) has excellent…”
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Tumor detection under cystoscopy with transformer-augmented deep learning algorithm Autor Jia, Xiao, Shkolyar, Eugene, Laurie, Mark A, Eminaga, Okyaz, Liao, Joseph C, Xing, Lei

“…) in a noninvasive and cost-effective fashion. The purpose of this work is to develop a cost-effective, transformer-augmented deep learning algorithm for accurate detection of bladder tumors in WLC and to assess its performance on archived patient data…”
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Online Covering: Efficient and Learning-augmented Algorithms Autor Lin, Young-san

“…We start by slightly modifying the generic framework for solving online covering and packing linear programs (LP) proposed in the seminal work of Buchbinder…”
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PMA-DRL: A parallel model-augmented framework for deep reinforcement learning algorithms Autor Luo, Xufang, Wang, Yunhong

“…In recent years, aided by deep neural networks (DNNs), reinforcement learning (RL) algorithms have been achieving great success in more and more tasks. In…”
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Engine Health Status Prediction Based on Oil Analysis With Augmented Machine Learning Algorithms Autor Szrama, Slawomir

“… Based on the real-life turbofan engine oil sample test results dataset, the novel methodology of the machine learning algorithm implementation was presented…”
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Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms Autor Lechowicz, Adam, Christianson, Nicolas, Sun, Bo, Bashir, Noman, Hajiesmaili, Mohammad, Wierman, Adam, Shenoy, Prashant

“…We introduce and study online conversion with switching costs, a family of online problems that capture emerging problems at the intersection of energy and…”
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Incorporating predictions in online graph coloring algorithms Autor Antoniadis, Antonios, Broersma, Hajo, Meng, Yang

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New Outliers Removal and Machine Learning Augmented Algorithms Autor Montazer Qaem, Mahshid (Ashley)

“…This dissertation largely studies problems of two types. In the first part, we study ranking and clustering in the presence of outliers. The goal is to remove…”
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Attention-Based Augmented Reinforcement Learning Algorithm for Multi-UAV Navigation Autor Lin, Hang, Wang, Fei, Zhu, Yue, Wang, Shuo, Gao, Pan, Zhang, Lijuan

“… In this paper, a novel attention-based augmented reinforcement learning algorithm is proposed for multi-UAV navigation (A2RL-NAV) in 3D environments…”
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Learning-Augmented Scheduling Autor Zhao, Tianming, Li, Wei, Zomaya, Albert Y.

“…The recent revival in learning theory has provided us with improved capabilities for accurate predictions. This work contributes to an emerging research agenda…”
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering Autor Abualigah, Laith, Elaziz, Mohamed Abd, Yousri, Dalia, Al-qaness, Mohammed A. A., Ewees, Ahmed A., Zitar, Raed Abu

“…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. A novel MH optimization algorithm, called…”
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LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand Autor Bostandoost, Roozbeh, Lechowicz, Adam, Hanafy, Walid A, Bashir, Noman, Shenoy, Prashant, Hajiesmaili, Mohammad

“…Motivated by an imperative to reduce the carbon emissions of cloud data centers, this paper studies the online carbon-aware resource scaling problem with…”
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Parallel and distributed Machine Learning on Augmented Lagrangian Algorithms Autor Nwachukwu, Anthony, Karbowski, Andrzej

“… This paper presents a comprehensive study of augmented Lagrangian–based algorithms for such problems, including classical Lagrangian relaxation, the method of multipliers, the Alternating Direction Method of Multipliers (ADMM), Bertsekas…”
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II-LA-KM: Improved Initialization of a Learning-Augmented Clustering Algorithm for Effective Rock Discontinuity Grouping Autor Xu, Yihang, Wu, Junxi, Zhao, Guoyan, Wang, Meng, Zhou, Xing

“… Confronting these challenges, II-LA-KM, a learning-augmented clustering algorithm with improved initialization for rock discontinuity grouping, is proposed…”
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