Results 141 to 150 of about 151,967 (341)

Hyperparameter space for random search.

, 2020
Hyperparameter space for random search.
Yoshihide Sekimoto (499186), Ashutosh Kumar (226539), Chris Mattmann (8561757), Tanvir Islam (8561754), Brian Wilson (2144590)   +4 more
core   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

Short-Term Load Forecasting in Power Systems Based on the Prophet–BO–XGBoost Model

Energies
To tackle the challenges of limited accuracy and poor generalization in short-term load forecasting under complex nonlinear conditions, this study introduces a Prophet–BO–XGBoost-based forecasting framework.
Shuang Zeng, Chang Liu, Heng Zhang, Baoqun Zhang, Yutong Zhao   +4 more
doaj   +1 more source

Hyperparameter optimization in recommender systems : Bayesian optimization vs. Nelder-Mead

, 2021
LAUREA MAGISTRALEIn recent years, especially with the developments in machine learning and data mining, recommender systems have gained increased popularity.
Bujari, Diedon
core  

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

Hyperparameter Optimization

The Journal of The Institute of Image Information and Television Engineers, 2023
Marc Becker, Lennart Schneider, Sebastian Fischer   +2 more
openaire   +2 more sources

A Combinatorial Approach to Hyperparameter Optimization

2024 IEEE/ACM 3rd International Conference on AI Engineering – Software Engineering for AI (CAIN)
In machine learning, hyperparameter optimization (HPO) is essential for effective model training and significantly impacts model performance. Hyperparameters are predefined model settings which fine-tune the model’s behavior and are critical to modeling ...
K. Khadka, Jaganmohan Chandrasekaran, Yu Lei, R. Kacker, D. R. Kuhn   +4 more
semanticscholar   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Multi-aircraft collaborative batching method based on self-organizing clustering

工程科学学报
This article addresses the bathing problem in multi-machine collaborative operations, proposing a method based on improved self-organizing iterative clustering.
Shihui ZHANG, Tongqing JIN, Yunjie ZHANG, Rui ZHOU, Huaming RAN, Liliang ZHOU   +5 more
doaj   +1 more source

Hyperparameter space and optimum hyperparameter used in the proposed GB model.

Hyperparameter space and optimum hyperparameter used in the proposed GB model.
Lanh Si Ho (18107100), Van Quan Tran (12269790)   +1 more
core   +1 more source