Results 121 to 130 of about 4,909,083 (351)

A General Framework for Constrained Bayesian Optimization using Information-based Search [PDF]

, 2015
José Miguel Hernández-Lobato, Michael A. Gelbart, Ryan P. Adams, Matthew W. Hoffman, Zoubin Ghahramani   +4 more
openalex   +1 more source

Parameter Sensitivity Analysis for the Progressive Sampling-Based Bayesian Optimization Method for Automated Machine Learning Model Selection

, 2021
Weipeng Zhou, Gang Luo
openalex   +2 more sources

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

A general Bayesian algorithm for the autonomous alignment of beamlines

Journal of Synchrotron Radiation
Autonomous methods to align beamlines can decrease the amount of time spent on diagnostics, and also uncover better global optima leading to better beam quality.
Thomas W. Morris, Max Rakitin, Yonghua Du, Mikhail Fedurin, Abigail C. Giles, Denis Leshchev, William H. Li, Brianna Romasky, Eli Stavitski, Andrew L. Walter, Paul Moeller, Boaz Nash, Antoine Islegen-Wojdyla   +12 more
doaj   +1 more source

Single‐Field Evolution Rule Governs the Dynamics of Representational Drift in Mouse Hippocampal Dorsal CA1 Region

Advanced Science, EarlyView.
Long‐term hippocampal place‐code dynamics are investigated using calcium imaging across weeks of maze navigation. Analyses reveal a novelty‐irrelevant Single‐Field Evolution Rule (SFER), where active fields promote persistence and inactive fields decline.
Cong Chen, Shuyang Yao, Sihui Cheng, Jiayi Tian, Ang Li, Yusen Yan, Xiang Zhang, Yuanjing Liu, Yumeng Wang, Qichen Cao, Chenglin Miao   +10 more
wiley   +1 more source

Decoding Human Placental Cellular and Molecular Responses to Obesity and Fetal Growth

Advanced Science, EarlyView.
Women with obesity often deliver large‐for‐gestational‐age (LGA) infants. Single‐nucleus RNA sequencing of term placenta reveals that hypoxia and TNF‐α signaling in syncytiotrophoblasts are featured in maternal obesity, but inflammatory signatures in Hofbauer cells and response to lipid or carbohydrate metabolism in fibroblasts are specific to LGA.
Hong Jiang, Emilie Derisoud, Denise Parreira, Nayere Taebnia, Paulo R. Jannig, Reza Zandi Shafagh, Allan Zhao, Congru Li, Macarena Ortiz, Manuel Alejandro Maliqueo, Elisabet Stener‐Victorin, Volker M. Lauschke, Qiaolin Deng   +12 more
wiley   +1 more source

Deep learning with Bayesian Hyperparameter Optimization for Precise Electrocardiogram Signals Delineation

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Electrocardiography (ECG) serves as an essential risk-stratification tool to observe further treatment for cardiac abnormalities. The cardiac abnormalities are indicated by the intervals and amplitude locations in the ECG waveform.
Annisa Darmawahyuni, Winda Kurnia Sari, Nurul Afifah, Siti Nurmaini, Jordan Marcelino, Rendy Isdwanta   +5 more
doaj   +1 more source

Predictive Modeling through Hyper-Bayesian Optimization [PDF]

, 2023
Manisha Senadeera, Santu Rana, Sunil Gupta, Svetha Venkatesh   +3 more
openalex   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

Advanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi, Mohammad Mahdi Hosseini, Ahmadreza Argha, Roxana Zahedi, Nigel H. Lovell, Hamid Alinejad‐Rokny   +5 more
wiley   +1 more source

Interpretable machine learning approach for TBM tunnel crown convergence prediction with Bayesian optimization

Frontiers in Earth Science
Accurate prediction of crown convergence in Tunnel Boring Machine (TBM) tunnels is critical for ensuring construction safety, optimizing support design, and improving construction efficiency.
Wanrui Hu, Kai Wu, Kai Wu, Heng Liu, Weibang Luo, Xingxing Li, Peng Guan   +6 more
doaj   +1 more source