Výsledky vyhledávání - sequential model-based algorithm configuration~

MO-SMAC: Multi-objective Sequential Model-based Algorithm Configuration Autor Rook, Jeroen G, Benjamins, Carolin, Bossek, Jakob, Trautmann, Heike, Hoos, Holger H, Lindauer, Marius

“…Automated algorithm configuration aims at finding well-performing parameter configurations for a given problem, and it has proven to be effective within many AI domains, including evolutionary computation…”
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Optimal Well Control Based on Auto-Adaptive Decision Tree—Maximizing Energy Efficiency in High-Nitrogen Underground Gas Storage Autor Kuk, Edyta, Stopa, Jerzy, Kuk, Michał, Janiga, Damian, Wojnarowski, Paweł

“… In the developed algorithm, well control is based on an auto-adaptive parameterized decision tree…”
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Petroleum Reservoir Control Optimization with the Use of the Auto-Adaptive Decision Trees Autor Kuk, Edyta, Stopa, Jerzy, Kuk, Michał, Janiga, Damian, Wojnarowski, Paweł

“… In this paper, a novel algorithm that automatically determines the intelligent control maximizing the NPV of a given production process was developed…”
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Improving the computational efficiency of stochastic programs using automated algorithm configuration: an application to decentralized energy systems Autor Schwarz, Hannes, Kotthoff, Lars, Hoos, Holger, Fichtner, Wolf, Bertsch, Valentin

“… In this work, we present a procedure to reduce this computational effort substantially, using a state-of-the-art automated algorithm configuration method…”
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SemiSMAC: A semi-supervised framework for log anomaly detection with automated hyperparameter tuning Autor Sun, Yicheng, Keung, Jacky Wai, Yang, Zhen, Liu, Shuo, Liao, Yihan

“… This paper presents SemiSMAC, a novel semi-supervised framework that leverages the Large Language Model for log parsing and grouping, combined with Sequential Model-based Algorithm Configuration (SMAC…”
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Electrode informatics accelerated the optimization of key catalyst layer parameters in direct methanol fuel cells Autor Ban, Lishou, Huang, Danyang, Liu, Yanyi, Liu, Pengcheng, Bian, Xihui, Wang, Kaili, Liu, Yifan, Liu, Xijun, He, Jia

“…As the core component of direct methanol fuel cells, the catalyst layer plays the key role as a species, proton and electron transport channel. However, due to…”
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Enhancing state of charge and state of energy estimation in Lithium-ion batteries based on a TimesNet model with Gaussian data augmentation and error correction Autor Zhang, Chu, Zhang, Yue, Li, Zhengbo, Zhang, Zhao, Nazir, Muhammad Shahzad, Peng, Tian

“…), and an improved Bayesian algorithm called Sequential Model-based Algorithm Configuration (SMAC) for SOC and SOE estimation in lithium-ion batteries…”
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AutoWeka4MCPS-AVATAR: Accelerating automated machine learning pipeline composition and optimisation Autor Nguyen, Tien-Dung, Musial, Katarzyna, Gabrys, Bogdan

“…Automated machine learning pipeline (ML) composition and optimisation aim at automating the process of finding the most promising ML pipelines within allocated…”
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Pruning SMAC search space based on key hyperparameters Autor Li, Hui, Liang, Qingqing, Chen, Mei, Dai, Zhenyu, Li, Huanjun, Zhu, Ming

“… Recent automated sequential model‐based optimization led to substantial improvements for this problem, whose core idea is fitting a regression model…”
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Automatic parameter configuration for an elite solution hyper-heuristic applied to the Multidimensional Knapsack Problem Autor Urra, Enrique, Cubillos, Claudio, Cabrera-Paniagua, Daniel, Lefranc, Gaston

“…Hyper-heuristics are methods for problem solving that decouple the search mechanisms from the domain features, providing a reusable approach across different…”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia Autor Alsulami, Badr T., Khattak, Afaq

“…). These IMFs are individually forecasted using Bidirectional Gated Recurrent Unit (BiGRU) models, which are capable of learning sequential patterns in both temporal directions…”
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Unbalanced budget distribution for automatic algorithm configuration Autor Ghambari, Soheila, Rakhshani, Hojjat, Lepagnot, Julien, Jourdan, Laetitia, Idoumghar, Lhassane

“… Therefore, several automatic algorithm configuration frameworks have been proposed to regulate the parameters of a given algorithm for a series of problem instances…”
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Unveiling Hidden Anomalies: Leveraging SMAC-LSTM for Enhanced Software Log Analysis Autor Sun, Yicheng, Keung, Jacky, Zhang, Jingyu, Yu, Hi Kuen, Luo, Wenqiang, Liu, Shuo

“… Sequential Model-based Algorithm Configuration (SMAC) is a suitable…”
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Two-Level Battery Health Diagnosis Using Encoder-Decoder Framework and Gaussian Mixture Ensemble Learning Based on Relaxation Voltage Autor Xiang, Haoxiang, Wang, Yujie, Zhang, Xingchen, Chen, Zonghai

“… Furthermore, the performance of the ensemble model is enhanced by the sequential model-based algorithm…”
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A Study on Autonomous Intersection Management: Planning-Based Strategy Improved by Convolutional Neural Network Autor Zhang, Jian, Jiang, Xia, Liu, Ziyi, Zheng, Liang, Ran, Bin

“… Then continuous-time optimal control can be carried out on CAVs. Meanwhile, sequential…”
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Semiconductor Manufacturing Final Test Yield Optimization and Wafer Acceptance Test Parameter Inverse Design Using Multi-Objective Optimization Algorithms Autor Jiang, Dan, Lin, Weihua, Raghavan, Nagarajan

“…In the semiconductor industry, many previous optimization studies have been carried out at the integrated circuit front-end design phase to identify optimal…”
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A Sequential Handwriting Recognition Model Based on a Dynamically Configurable CRNN Autor AL-Saffar, Ahmed, Awang, Suryanti, AL-Saiagh, Wafaa, AL-Khaleefa, Ahmed Salih, Abed, Saad Adnan

“…(s) or digit(s) based on an image. Because most applications of handwriting recognition in real life contain sequential text in various languages, there is a need to develop a dynamic handwriting recognition system…”
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Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP Autor Vinzent Seiler, Moritz, Rook, Jeroen, Heins, Jonathan, Ludger Preub, Oliver, Bossek, Jakob, Trautmann, Heike

“…Automated Algorithm Configuration (AAC) usually takes a global perspective: it identifies a parameter configuration for an (optimization…”
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SMAC-tuned Deep Q-learning for Ramp Metering Autor ElSamadisy, Omar, Abdulhai, Yazeed, Xue, Haoyuan, Smirnov, Ilia, Khalil, Elias B., Abdulhai, Baher

“… In this paper, the Sequential Model-based Algorithm Configuration (SMAC) method is used to fine-tune the values of two essential hyperparameters for the deep reinforcement…”
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A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models Autor Agriesti, Serio, Kuzmanovski, Vladimir, Hollmen, Jaakko, Roncoli, Claudio, Nahmias-Biran, Bat-Hen

“…Addressing complexity in transportation in cases such as disruptive trends or disaggregated management strategies has become increasingly important. This in…”
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