Results 171 to 180 of about 1,249,172 (345)

High-Discriminative Attribute Feature Learning for Generalized Zero-Shot Learning [PDF]

arXiv
Zero-shot learning(ZSL) aims to recognize new classes without prior exposure to their samples, relying on semantic knowledge from observed classes. However, current attention-based models may overlook the transferability of visual features and the distinctiveness of attribute localization when learning regional features in images.
arxiv  

Perceptual learning in pattern discrimination tasks with two and three schema categories [PDF]

, 1969
Bill R. Brown, Selby H. Evans
openalex   +1 more source

Development and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease

Advanced Science, EarlyView.
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao, Lin Zeng, Jiaren Wang, Chang Hong, Ziyong Zhang, Chengkai Wu, Hao Cui, Yan Li, Ruining Li, Shengxing Liang, Qijie Deng, Wenyuan Li, Xuejing Zou, Pengcheng Ma, Li Liu   +14 more
wiley   +1 more source

Effects of scopolamine and eserine on position discrimination learning with an exploratory incentive [PDF]

, 1968
Robert N. Leaton
openalex   +1 more source

Key Connectomes and Synaptic‐Compartment‐Specific Risk Genes Drive Pathological α‐Synuclein Spreading

Advanced Science, EarlyView.
Utilizing a stereotaxic injection mouse model and a novel mathematical approach, this study uncovers key subnetworks that drive pathological α‐synuclein (α‐Syn) progression in Parkinson's disease (PD). Remarkably, just 2% of the strongest connections in the connectome are sufficient to predict its spread.
Yuanxi Li, Justin Torok, Shujing Zhang, Jessica Ding, Ning Wang, Courtney Lau, Shruti Kulkarni, Chaitali Anand, Julie Tran, Michael Cheng, Claire Lo, Binbin Lu, Yanzi Sun, Robert Damoiseaux, Xia Yang, Ashish Raj, Chao Peng   +16 more
wiley   +1 more source

Selective Interruption of Auditory Interhemispheric Cross Talk Impairs Discrimination Learning of Frequency-Modulated Tone Direction But Not Gap Detection and Discrimination. [PDF]

J Neurosci, 2022
Saldeitis K, Jeschke M, Michalek A, Henschke JU, Wetzel W, Ohl FW, Budinger E.   +6 more
europepmc   +1 more source

Einstellung during simple discrimination learning [PDF]

, 1966
Fred C. Ress, Marvin Levine
openalex   +1 more source

Discrimination Learning and Inhibition [PDF]

Science, 1967
J A, Deutsch, H S, Terrace
openaire   +2 more sources

Tailoring a Functional Synthetic Microbial Community Alleviates Fusobacterium nucleatum‐infected Colorectal Cancer via Ecological Control

Advanced Science, EarlyView.
The bottom‐up strategy based on multiomics data is used for the SynCom design, and it successfully inhibited F. nucleatum growth and achieved stable colonization in vivo. In addition, it promoted tryptophan metabolism and secondary bile acid conversion, reduced lipid accumulation, relieved microbiome disorder, decreased inflammatory reaction, and ...
Zhongkun Zhou, Mengyue Yang, Hong Fang, Baizhuo Zhang, Yunhao Ma, Yongyuan Li, Yingjie Liu, Zeying Cheng, Yuanchun Zhao, Zhenzhen Si, Hongmei Zhu, Peng Chen   +11 more
wiley   +1 more source

Neutron/gamma (n/γ) discrimination method based on KPCA-MPA-ELM

He jishu
BackgroundNeutrons/Gamma (n/γ) discrimination is critical for neutron detection in the presence of γ radiation and traditional pulse shape discrimination methods suffer from unstable discrimination accuracy.PurposeThis study aims to implement a machine ...
HU Wanping, ZHANG Guiyu, ZHANG Yunlong, TUO Xianguo, LI Hulin   +4 more
doaj   +1 more source