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Bayesian Optimization for Machine Learning : A Practical Guidebook

Bayesian Optimization for Machine Learning : A Practical Guidebook

14 December 2016
Ian Dewancker
M. McCourt
Scott C. Clark
ArXiv (abs)PDFHTML

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

11 / 11 papers shown
Title
Sparse minimum Redundancy Maximum Relevance for feature selection
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
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 Estimation
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
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
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
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 Analysis
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
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
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
Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax
Daniel T. Chang
BDLAI4CE
108
12
0
11 Dec 2019
New Hybrid Neuro-Evolutionary Algorithms for Renewable Energy and
  Facilities Management Problems
New Hybrid Neuro-Evolutionary Algorithms for Renewable Energy and Facilities Management Problems
L. Cornejo-Bueno
82
1
0
05 Jun 2018
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