Výsledky vyhledávání - "sequential model-based algorithm configuration"

MO-SMAC: Multiobjective Sequential Model-Based Algorithm Configuration

Autoři: Jeroen G. Rook Carolin Benjamins Jakob Bossek a další

Zdroj: Evolutionary Computation. :1-24

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40096519

Combining sequential model-based algorithm configuration with default-guided probabilistic sampling

Autoři: Marie Anastacio Holger H. Hoos

Zdroj: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. :301-302

Témata: 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/gecco/gecco2020c.html#AnastacioH20

Petroleum Reservoir Control Optimization with the Use of the Auto-Adaptive Decision Trees

Autoři: Edyta Kuk Jerzy Stopa Michał Kuk a další

Zdroj: Energies, Vol 14, Iss 5702, p 5702 (2021)

Témata: production optimization, auto-adaptive decision tree, artificial intelligence, machine learning, sequential model-based algorithm configuration, CCS-EOR, Technology

Relation: https://www.mdpi.com/1996-1073/14/18/5702; https://doaj.org/toc/1996-1073; https://doaj.org/article/e1a3713f1a1a411ea127d2d16086e46d

Dostupnost: https://doi.org/10.3390/en14185702
https://doaj.org/article/e1a3713f1a1a411ea127d2d16086e46d

Optimal Well Control Based on Auto-Adaptive Decision Tree—Maximizing Energy Efficiency in High-Nitrogen Underground Gas Storage

Autoři: Edyta Kuk Jerzy Stopa Michał Kuk a další

Zdroj: Energies, Vol 15, Iss 3413, p 3413 (2022)

Témata: optimal control, auto-adaptive decision tree, artificial intelligence, machine learning, sequential model-based algorithm configuration, Technology

Relation: https://www.mdpi.com/1996-1073/15/9/3413; https://doaj.org/toc/1996-1073; https://doaj.org/article/0daa77aa57024a9bbf182c91ccc16950

Dostupnost: https://doi.org/10.3390/en15093413
https://doaj.org/article/0daa77aa57024a9bbf182c91ccc16950

Improving the computational efficiency of stochastic programs using automated algorithm configuration: an application to decentralized energy systems

Autoři: Lars Kotthoff Valentin Bertsch Holger H. Hoos a další

Zdroj: Annals of Operations Research.

Témata: OR in energy Large-scale optimization Stochastic programming Uncertainty modeling Automated algorithm configuration Sequential model-based algorithm configuration, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Přístupová URL adresa: https://link.springer.com/article/10.1007/s10479-018-3122-6

Using automated algorithm configuration to improve the optimization of decentralized energy systems modeled as large-scale, two-stage stochastic programs

Autoři: Schwarz, Hannes Kotthoff, Lars Hoos, Holger a další

Témata: ddc:330, OR in energy, large-scale optimization, stochastic programming, uncertainty modeling, automated algorithm configuration, sequential model-based algorithm configuration

Relation: Series: Working Paper Series in Production and Energy; No. 24; http://hdl.handle.net/10419/176750; RePEc:zbw:kitiip:24

Dostupnost: http://hdl.handle.net/10419/176750
https://doi.org/10.5445/IR/1000072492
https://nbn-resolving.org/urn:nbn:de:swb:90-724925

SemiSMAC: A semi-supervised framework for log anomaly detection with automated hyperparameter tuning.

Autoři: Sun, Yicheng Keung, Jacky Wai Yang, Zhen a další

Zdroj: Information & Software Technology. Nov2025, Vol. 187, pN.PAG-N.PAG. 1p.

Témata: ANOMALY detection (Computer security), DATA logging, SUPERVISED learning, LONG short-term memory, LANGUAGE models, DETECTION algorithms, MACHINE learning

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis.

Autoři: Wen, Long Wang, You Li, Xinyu

Zdroj: Frontiers of Mechanical Engineering; Jun2022, Vol. 17 Issue 2, p1-12, 12p

Pruning SMAC search space based on key hyperparameters.

Autoři: Li, Hui Liang, Qingqing Chen, Mei a další

Zdroj: Concurrency & Computation: Practice & Experience; 4/25/2022, Vol. 34 Issue 9, p1-11, 11p

Témata: CONFIGURATION space, MACHINE learning, REGRESSION analysis

Unbalanced budget distribution for automatic algorithm configuration.

Autoři: Ghambari, Soheila Rakhshani, Hojjat Lepagnot, Julien a další

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Feb2022, Vol. 26 Issue 3, p1315-1330, 16p

Témata: DISTRIBUTION (Probability theory), CONFIGURATION space, GENETIC algorithms, TIME management, JOB performance

A Study on Autonomous Intersection Management: Planning-Based Strategy Improved by Convolutional Neural Network.

Autoři: Zhang, Jian Jiang, Xia Liu, Ziyi a další

Zdroj: KSCE Journal of Civil Engineering; Oct2021, Vol. 25 Issue 10, p3995-4004, 10p

On the multi-objective hyperparameter optimization of the weighted entropic associative memory.

Autoři: Rivera, Juan Antonio López Castellanos, Carlos Ignacio Hernández Morales, Rafael a další

Zdroj: Scientific Reports; 11/5/2025, Vol. 15 Issue 1, p1-23, 23p

Causal Automated Machine Learning for Zero-Shot Decision-Making in Low-Resource Environments: A New Paradigm in Machine Learning Automation and Transferability.

Autoři: Patankar, Abhijit Patil, Pranav Brahmane, Mihir a další

Zdroj: Cureus Journal of Computer Science; Nov2025, Vol. 2 Issue 1, p1-19, 19p

OPTIMIZING CORROSION OBJECT DETECTION MODEL ON METAL OBJECTS BASED ON BAMI-YOLOV5S.

Autoři: Aradea Rianto Al-Husaini, Muhammad a další

Zdroj: ICIC Express Letters; Oct2025, Vol. 19 Issue 10, p1071-1080, 10p

A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models

Autoři: Agriesti, Serio Kuzmanovski, Vladimir Hollmén, Jaakko a další

Témata: Activity-based transport modeling, model calibration, machine learning, Bayesian optimization, surrogate model, Computer and Information Sciences, Data- och informationsvetenskap, Electrical Engineering, Electronic Engineering, Information Engineering, Elektroteknik och elektronik, Transport Systems and Logistics, Transportteknik och logistik, Article in journal, info:eu-repo/semantics/article, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-223745
IEEE Open Journal of Intelligent Transportation Systems, 2023, 4, s. 740-754

Automated classification of pre-defined movement patterns: A comparison between GNSS and UWB technology

Autoři: Laanen, Rodi Nasri, Maedeh van Dijk, Richard a další

Témata: Computer Science - Machine Learning, Computer Science - Human-Computer Interaction, text

URL: http://arxiv.org/abs/2303.07107

A literature review on automated machine learning.

Autoři: Alcobaça, Edesio de Carvalho, André C. P. L. F.

Zdroj: Artificial Intelligence Review; Jan2026, Vol. 59 Issue 1, p1-39, 39p

Empirical Calibration of XGBoost Model Hyperparameters Using the Bayesian Optimisation Method: The Case of Bitcoin Volatility.

Autoři: Nadarajah, Saralees Mba, Jules Clement Ravonimanantsoa, Ndaohialy Manda Vy a další

Zdroj: Journal of Risk & Financial Management; Sep2025, Vol. 18 Issue 9, p487, 18p

Témata: CRYPTOCURRENCIES, OPTIMIZATION algorithms, BOOSTING algorithms, ENSEMBLE learning, FORECASTING, PRICE fluctuations

CIAMS: clustering indices-based automatic classification model selection.

Autoři: Santhiappan, Sudarsun Shravan, Nitin Ravindran, Balaraman

Zdroj: International Journal of Data Science & Analytics; Aug2025, Vol. 20 Issue 2, p549-571, 23p

Towards Recommendation on Good Quality Data Science Solutions.

Autoři: Chen, Jian Chen, Yile Wen, Zeyi a další

Zdroj: ACM Transactions on Knowledge Discovery from Data; Aug2025, Vol. 19 Issue 7, p1-19, 19p

Témata: DATA science, RECOMMENDER systems, BEST practices, MACHINE learning, PROFESSIONAL competence, MATHEMATICAL optimization, COMPUTER performance, DATA scrubbing