Results 71 to 80 of about 1,044,082 (362)

Data‐Driven Fatigue Prediction of Superalloys: A Novel Strategy Integrating Transfer Learning and Partial Label Learning for Addressing Ambiguous Data

Advanced Science, EarlyView.
A novel machine learning strategy tackles ambiguous compositional data to predict superalloy fatigue. By integrating partial label with transfer learning and enriching features through thermodynamic calculations, this approach achieves superior accuracy and interpretability.
Haopeng Lv, Jiawei Yin, Dayong Wu, Ziyuan Rao, Chao Su, Jie Kang, Qian Wang, Haikun Ma, Huicong Dong, Yandong Wang, Ru Su   +10 more
wiley   +1 more source

Conditional Quantization for Some Discrete Distributions

Mathematics
Quantization for a Borel probability measure refers to the idea of estimating a given probability by a discrete probability with support containing a finite number of elements.
Edgar A. Gonzalez, Mrinal Kanti Roychowdhury, David A. Salinas, Vishal Veeramachaneni   +3 more
doaj   +1 more source

Optimized estimates of the regularity of the conditional distribution of the sample mean [PDF]

, 2015
We give an improved estimate for the regularity of the conditional distribution of the empiric mean of a finite sample of IID random variables, conditional on the sample "fluctuations", extending the well-known property of Gaussian IID samples ...
Chulaevsky, Victor
core  

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

Predicting Abnormal Laboratory Blood Test Results in the Intensive Care Unit Using Novel Features Based on Information Theory and Historical Conditional Probability: Observational Study

JMIR Medical Informatics, 2022
BackgroundRedundancy in laboratory blood tests is common in intensive care units (ICUs), affecting patients’ health and increasing health care expenses.
Camilo E Valderrama, Daniel J Niven, Henry T Stelfox, Joon Lee   +3 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

Interpretation and Semiparametric Efficiency in Quantile Regression under Misspecification

Econometrics, 2015
Allowing for misspecification in the linear conditional quantile function, this paper provides a new interpretation and the semiparametric efficiency bound for the quantile regression parameter β (
Ying-Ying Lee
doaj   +1 more source

Using Conservative Estimation for Conditional Probability instead of Ignoring Infrequent Case

, 2017
There are several estimators of conditional probability from observed frequencies of features. In this paper, we propose using the lower limit of confidence interval on posterior distribution determined by the observed frequencies to ascertain ...
Kikuchi, Masato, Okabe, Masayuki, Umemura, Kyoji, Yamamoto, Eiko, Yoshida, Mitsuo   +4 more
core   +1 more source

Virial Masses of Black Holes from Single Epoch Spectra of AGN [PDF]

, 2006
We describe the general problem of estimating black hole masses of AGN by calculating the conditional probability distribution of M_BH given some set of observables.
Brandon C. Kelly, Efron B., Jill Bechtold, Kormendy J., Krolik J. H., Schwartz G., Silk J.   +6 more
core   +2 more sources

RUNX2 Activation in Fibro/Adipogenic Progenitors Promotes Muscle Fibrosis in Muscular Dystrophy

Advanced Science, EarlyView.
This study revealed a novel role of the chemokine‐TGF‐β1‐RUNX2 axis in determining the fate of FAP differentiation and modulating muscle fibrosis in patients and mice with muscular dystrophies. ABSTRACT Clinical evidence indicates concurrent muscle inflammation and fibrosis in muscular dystrophies (MDs); however, the molecular mechanisms underlying ...
Pengkai Wu, Zehua Zhang, Kai Zheng, Ziqi Zhu, Yong Zhu, Abdukahar Kiram, Lei Zhao, Huihui Chen, Zhu Xu, Xihua Li, Beicheng Sun, Zhijian Li, Dengqiu Xu   +12 more
wiley   +1 more source