Results 101 to 110 of about 188,896 (327)

From Potential to Actual Knowledge: A New Framework in Probabilistic Epistemic Logic

Studies in Logic, Grammar and Rhetoric
In this paper we address the issue of improbable knowledge within probabilistic epistemic logic. This problem occurs when an agent possesses knowledge of a certain proposition despite the evidential probability of that knowledge being exceedingly low ...
Wójcik Arkadiusz
doaj   +1 more source

Meta-analysis of the functional neuroimaging literature with probabilistic logic programming. [PDF]

Sci Rep, 2022
Abdallah M, Iovene V, Zanitti G, Wassermann D.   +3 more
europepmc   +1 more source

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

Unpaired Learning‐Enabled Nanotube Identification from AFM Images

Advanced Science, EarlyView.
Identifying nanotubes on rough substrates is notoriously challenging for conventional image analysis. This work presents an unpaired deep learning approach that automatically extracts nanotube networks from atomic force microscopy images, even on complex polymeric surfaces used in roll‐to‐roll printing.
Soyoung Na, Soobin Park, Younsu Jung, Jinhwa Park, Jimin Hong, Jihyun Lee, Albert Kim, Bongjun Kim, Gyoujin Cho, Eunju Cha, Seung Hyun Song   +10 more
wiley   +1 more source

Probabilistic Similarity Logic

, 2012
Many machine learning applications require the ability to learn from and reason about noisy multi-relational data. To address this, several effective representations have been developed that provide both a language for expressing the structural regularities of a domain, and principled support for probabilistic inference.
Brocheler, Matthias, Mihalkova, Lilyana, Getoor, Lise   +2 more
openaire   +2 more sources

Stress‐Programmed Immune Niches Fuel TNFR2+ Treg Activation and Drive Neoadjuvant Chemotherapy Resistance in Breast Cancer

Advanced Science, EarlyView.
Single‐cell sequencing reveals stress‐programmed immune states driving TNFα–TNFR2–mediated Treg activation and therapy resistance in breast cancer, while targeting this axis restores antitumor immunity. ABSTRACT The tumor microenvironment (TME) harbors diverse immune cell states that shape therapeutic outcomes in breast cancer.
Zhibo Shao, Xuliren Wang, Han Zhu, Ling Yao, Qi Zhang, Zihan Zhai, Xinyi Lv, Xinyuan Xia, Yi Zhang, Xinya Lu, Xinyi Quan, Jiawen Yang, Xinwei Li, Jieyi Dong, Zhi‐ming Shao, Ruoxi Wang, Bingqiu Xiu, Jiong Wu, Sheng Chen   +18 more
wiley   +1 more source

Autonomous Behavior Selection For Self-driving Cars Using Probabilistic Logic Factored Markov Decision Processes

Applied Artificial Intelligence
We propose probabilistic logic factored Markov decision processes (PL-fMDPs) as a behavior selection scheme for self-driving cars. Probabilistic logic combines logic programming with probability theory to achieve clear, rule-based knowledge descriptions ...
Héctor Avilés, Marco Negrete, Alberto Reyes, Rubén Machucho, Karelly Rivera, Gloria de-la-Garza, Alberto Petrilli   +6 more
doaj   +1 more source

A Quantum Framework for Protein Binding‐Site Structure Prediction on Utility‐Level Quantum Processors

Advanced Science, EarlyView.
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang, Yuxin Yang, William Martin, Kingsten Lin, Zixu Wang, Cheng‐Chang Lu, Weiwen Jiang, Ruth Nussinov, Joseph Loscalzo, Qiang Guan, Feixiong Cheng   +10 more
wiley   +1 more source

Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans

Advanced Science, EarlyView.
This study employs viral‐based single‐neuron tracing and dMRI‐based whole‐brain tractography to investigate arcuate fasciculus (AF) trajectories in macaque monkeys, and compares with the human AF connectome using spectral embedding. Results demonstrate conserved AF topography spanning temporoparietal‐auditory‐frontal pathways across primates, with ...
Jiahao Huang, Ruifeng Li, Wenwen Yu, Anan Li, Xiangning Li, Mingchao Yan, Lei Xie, Qingrun Zeng, Xueyan Jia, Shuxin Wang, Ronghui Ju, Feng Chen, Qingming Luo, Hui Gong, Andrew Zalesky, Xiaoquan Yang, Yuanjing Feng, Zheng Wang   +17 more
wiley   +1 more source

Proving uniformity and independence by self-composition and coupling

, 2017
Proof by coupling is a classical proof technique for establishing probabilistic properties of two probabilistic processes, like stochastic dominance and rapid mixing of Markov chains.
Barthe, Gilles, Espitau, Thomas, Grégoire, Benjamin, Hsu, Justin, Strub, Pierre-Yves   +4 more
core