Bayesian Optimization for Machine Learning : A Practical Guidebook

14 December 2016

Papers citing "Bayesian Optimization for Machine Learning : A Practical Guidebook"

11 / 11 papers shown

Title
Sparse minimum Redundancy Maximum Relevance for feature selection Peter Naylor B. Poignard Héctor Climente-González M. Yamada 72 0 0 26 Aug 2025
TUS-REC2024: A Challenge to Reconstruct 3D Freehand Ultrasound Without External Tracker Qi Li Shaheer U. Saeed Y. Huang Mingyuan Luo Zhongnuo Yan ... Tomy Varghese D. Barratt Matthew J. Clarkson Tom Vercauteren Yipeng Hu 140 1 0 26 Jun 2025
A Helping (Human) Hand in Kinematic Structure EstimationIEEE International Conference on Robotics and Automation (ICRA), 2025 Adrian Pfisterer Xing Li Vito Mengers Oliver Brock 278 2 0 07 Mar 2025
Sentiment-driven prediction of financial returns: a Bayesian-enhanced FinBERT approach R. G. Cestari Simone Formentin AIFin 86 0 0 07 Mar 2024
A mechanism-driven reinforcement learning framework for shape optimization of airfoils Jingfeng Wang Guanghui Hu 181 2 0 07 Mar 2024
Mastering the exploration-exploitation trade-off in Bayesian Optimization Antonio Candelieri 168 4 0 15 May 2023
BERT-Based Combination of Convolutional and Recurrent Neural Network for Indonesian Sentiment AnalysisApplied Soft Computing (ASC), 2022 H. Murfi Syamsyuriani Theresia Gowandi Gianinna Ardaneswari S. Nurrohmah 42 47 0 10 Nov 2022
A Comparative study of Hyper-Parameter Optimization Tools Shashank Shekhar Adesh Bansode Asif Salim 103 85 0 17 Jan 2022
Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs Daniel T. Chang GNN 101 5 0 02 Jun 2020
Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax Daniel T. Chang BDL AI4CE 108 12 0 11 Dec 2019
New Hybrid Neuro-Evolutionary Algorithms for Renewable Energy and Facilities Management Problems L. Cornejo-Bueno 82 1 0 05 Jun 2018