Výsledky vyhledávání - ML: Auto ML and Hyperparameter Tuning

Multi Class Multi Output Auto ML Model for Two Axis Precision Gantry

Autoři: Deepak Mohan Dharne

Zdroj: INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-9

A Review of Scalable Machine Learning Architectures in Cloud Environments: Challenges and Innovations

Autoři: Journal of Global Research in Electronics and Communications

Témata: Scalable Machine Learning, Cloud Computing, Auto-ML, Serverless Computing, Microservices, Cloud Platforms, IaaS, PaaS, SaaS, Hyperparameter Tuning

Using Auto-ML on Synthetic Point Cloud Generation

Autoři: Moritz Hottong Moritz Sperling Christoph Müller

Zdroj: Applied Sciences, Vol 14, Iss 2, p 742 (2024)

Témata: machine learning, Auto-ML, synthetic training data, data generator, domain parameter optimization, high quality labeled data, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/2/742; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/e20823c0704042af988de152af7683d4

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning

Autoři: Giovanelli, Joseph Tornede, Alexander Tornede, Tanja a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 11: AAAI-24 Technical Tracks 11; 12172-12180 ; 2374-3468 ; 2159-5399

Témata: ML: Auto ML and Hyperparameter Tuning, HAI: Human-in-the-loop Machine Learning, KRR: Preferences

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29106/30091; https://ojs.aaai.org/index.php/AAAI/article/view/29106/30092; https://ojs.aaai.org/index.php/AAAI/article/view/29106

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/29106
https://doi.org/10.1609/aaai.v38i11.29106

Hyperparameter Tuning for Machine and Deep Learning with R

Autoři: Eva Bartz Thomas Bartz-Beielstein Martin Zaefferer a další

Resource Type: eBook.

Témata: Computer simulation, Computational intelligence, Artificial intelligence, Machine learning, Mathematical physics

Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Mathematical & Statistical Software, MATHEMATICS / Probability & Statistics / General, SCIENCE / Physics / Mathematical & Computational, TECHNOLOGY & ENGINEERING / Engineering (General)

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery

Autoři: Wei, Zimian Dong, Peijie Hui, Zheng a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 14: AAAI-24 Technical Tracks 14; 15814-15822 ; 2374-3468 ; 2159-5399

Témata: ML: Auto ML and Hyperparameter Tuning, CV: Learning & Optimization for CV, CV: Applications, ML: Deep Neural Architectures and Foundation Models, CV: Representation Learning for Vision, CV: Other Foundations of Computer Vision

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29511/30847; https://ojs.aaai.org/index.php/AAAI/article/view/29511/30848; https://ojs.aaai.org/index.php/AAAI/article/view/29511

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/29511
https://doi.org/10.1609/aaai.v38i14.29511

Code-Aware Cross-Program Transfer Hyperparameter Optimization

Autoři: Wang, Zijia He, Xiangyu Chen, Kehan a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 37 No. 9: AAAI-23 Technical Tracks 9; 10297-10305 ; 2374-3468 ; 2159-5399

Témata: ML: Auto ML and Hyperparameter Tuning, ML: Transfer, Domain Adaptation, Multi-Task Learning

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/26226/25998; https://ojs.aaai.org/index.php/AAAI/article/view/26226

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/26226
https://doi.org/10.1609/aaai.v37i9.26226

Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective

Autoři: Zhang, Xuechen Li, Mingchen Chen, Jiasi a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16890-16898 ; 2374-3468 ; 2159-5399

Témata: ML: Ethics, Bias, and Fairness, ML: Auto ML and Hyperparameter Tuning

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29631/31071; https://ojs.aaai.org/index.php/AAAI/article/view/29631

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/29631
https://doi.org/10.1609/aaai.v38i15.29631

SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training

Autoři: Zhu, Chendi Li, Lujun Wu, Yuli a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 7: AAAI-24 Technical Tracks 7; 7722-7730 ; 2374-3468 ; 2159-5399

Témata: CV: Applications, CV: Learning & Optimization for CV, CV: Representation Learning for Vision, CV: Scene Analysis & Understanding, CV: Segmentation, ML: Applications, ML: Auto ML and Hyperparameter Tuning

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/28606/29177; https://ojs.aaai.org/index.php/AAAI/article/view/28606/29178; https://ojs.aaai.org/index.php/AAAI/article/view/28606

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/28606
https://doi.org/10.1609/aaai.v38i7.28606

DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning

Autoři: Zheng, Shenghe Wang, Hongzhi Mu, Tianyu

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 17051-17059 ; 2374-3468 ; 2159-5399

Témata: ML: Auto ML and Hyperparameter Tuning, ML: Semi-Supervised Learning

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29649/31103; https://ojs.aaai.org/index.php/AAAI/article/view/29649/31104; https://ojs.aaai.org/index.php/AAAI/article/view/29649

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/29649
https://doi.org/10.1609/aaai.v38i15.29649

Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts

Autoři: Yao, Yang Wang, Xin Qin, Yijian a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 15: AAAI-24 Technical Tracks 15; 16433-16441 ; 2374-3468 ; 2159-5399

Témata: ML: Auto ML and Hyperparameter Tuning, ML: Graph-based Machine Learning

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29580/30975; https://ojs.aaai.org/index.php/AAAI/article/view/29580/30976; https://ojs.aaai.org/index.php/AAAI/article/view/29580

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/29580
https://doi.org/10.1609/aaai.v38i15.29580

Multi-Objective Bayesian Optimization with Active Preference Learning

Autoři: Ozaki, Ryota Ishikawa, Kazuki Kanzaki, Youhei a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 13: AAAI-24 Technical Tracks 13; 14490-14498 ; 2374-3468 ; 2159-5399

Témata: ML: Bayesian Learning, ML: Auto ML and Hyperparameter Tuning, HAI: Human-in-the-loop Machine Learning, ML: Active Learning

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29364/30574; https://ojs.aaai.org/index.php/AAAI/article/view/29364/30575; https://ojs.aaai.org/index.php/AAAI/article/view/29364

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/29364
https://doi.org/10.1609/aaai.v38i13.29364

REPrune: Channel Pruning via Kernel Representative Selection

Autoři: Park, Mincheol Kim, Dongjin Park, Cheonjun a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 13: AAAI-24 Technical Tracks 13; 14545-14553 ; 2374-3468 ; 2159-5399

Témata: ML: Learning on the Edge & Model Compression, ML: Auto ML and Hyperparameter Tuning

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29370/30586; https://ojs.aaai.org/index.php/AAAI/article/view/29370/30587; https://ojs.aaai.org/index.php/AAAI/article/view/29370

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/29370
https://doi.org/10.1609/aaai.v38i13.29370

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches

Autoři: Liu, Yu Wan, Runzhe McQueen, James a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 12: AAAI-24 Technical Tracks 12; 14044-14051 ; 2374-3468 ; 2159-5399

Témata: ML: Applications, ML: Auto ML and Hyperparameter Tuning, ML: Clustering, RU: Decision/Utility Theory, RU: Probabilistic Inference

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29313/30478; https://ojs.aaai.org/index.php/AAAI/article/view/29313/30479; https://ojs.aaai.org/index.php/AAAI/article/view/29313

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/29313
https://doi.org/10.1609/aaai.v38i12.29313

Federated X-armed Bandit

Autoři: Li, Wenjie Song, Qifan Honorio, Jean a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 12: AAAI-24 Technical Tracks 12; 13628-13636 ; 2374-3468 ; 2159-5399

Témata: ML: Online Learning & Bandits, ML: Auto ML and Hyperparameter Tuning, ML: Learning Theory, ML: Optimization, ML: Reinforcement Learning

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29267/30391; https://ojs.aaai.org/index.php/AAAI/article/view/29267/30392; https://ojs.aaai.org/index.php/AAAI/article/view/29267

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/29267
https://doi.org/10.1609/aaai.v38i12.29267

IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance

Autoři: He, Hongyi Liu, Longjun Zhang, Haonan a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 11: AAAI-24 Technical Tracks 11; 12367-12375 ; 2374-3468 ; 2159-5399

Témata: ML: Auto ML and Hyperparameter Tuning, CV: Learning & Optimization for CV, ML: Deep Neural Architectures and Foundation Models, ML: Optimization

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29128/30134; https://ojs.aaai.org/index.php/AAAI/article/view/29128/30135; https://ojs.aaai.org/index.php/AAAI/article/view/29128

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/29128
https://doi.org/10.1609/aaai.v38i11.29128

Comparing Auto-Machine Learning and Expert-Designed Models in Diagnosing Vitreomacular Interface Disorders.

Autoři: Durmaz Engin, Ceren Gokkan, Mahmut Ozan Koksaldi, Seher a další

Zdroj: Journal of Clinical Medicine; Apr2025, Vol. 14 Issue 8, p2774, 13p

Témata: OPTICAL coherence tomography, DEEP learning, RETINAL diseases, MEDICAL personnel, MACHINE learning

Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation

Autoři: Chen, Hui Jia, Yinxu Wang, Guanghui a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 10: AAAI-24 Technical Tracks 10; 11294-11301 ; 2374-3468 ; 2159-5399

Témata: ML: Calibration & Uncertainty Quantification, ML: Auto ML and Hyperparameter Tuning

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/29008/29913; https://ojs.aaai.org/index.php/AAAI/article/view/29008

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/29008
https://doi.org/10.1609/aaai.v38i10.29008

Multimodal Graph Neural Architecture Search under Distribution Shifts

Autoři: Cai, Jie Wang, Xin Li, Haoyang a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38 No. 8: AAAI-24 Technical Tracks 8; 8227-8235 ; 2374-3468 ; 2159-5399

Témata: DMKM: Mining of Visual, Multimedia & Multimodal Data, ML: Auto ML and Hyperparameter Tuning, ML: Graph-based Machine Learning

Popis souboru: application/pdf

Relation: https://ojs.aaai.org/index.php/AAAI/article/view/28663/29288; https://ojs.aaai.org/index.php/AAAI/article/view/28663

Dostupnost: https://ojs.aaai.org/index.php/AAAI/article/view/28663
https://doi.org/10.1609/aaai.v38i8.28663

A No-Code Automated Machine Learning Platform for the Energy Sector

Autoři: Ezgi Avcı

Zdroj: Volume: 11, Issue: 2289-303
Gazi University Journal of Science Part A: Engineering and Innovation

Témata: Modelling and Simulation, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Modelleme ve Simülasyon, Auto-ML, No-Code Platform, Artificial Intelligence, Energy, 01 natural sciences, 7. Clean energy, 0104 chemical sciences

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/gujsa/issue/84766/1473782