Results 161 to 170 of about 452,378 (262)

Hierarchical incremental learning deciphers molecular arrangements in multi-component materials. [PDF]

open access: yesNat Commun
Zhang H   +6 more
europepmc   +1 more source

An efficient real-time stock prediction exploiting incremental learning and deep learning. [PDF]

open access: yesEvol Syst (Berl), 2022
Singh T   +4 more
europepmc   +1 more source

Rebalancing Multi-Label Class-Incremental Learning [PDF]

open access: green
Kaile Du   +7 more
openalex   +1 more source

Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep-mediated noise-resilience - Data

open access: green, 2021
Bruno Golosio   +7 more
openalex   +1 more source

Discovery of a Novel and Potent Kir4.1 Inhibitor as a Safe and Rapid‐Onset Antidepressant Agent in Mice

open access: yesAdvanced Science, EarlyView.
The preferred derivative JX3212 demonstrates strong inhibitory activity against Kir4.1 with favorable druggability and shows significant antidepressant efficacy in vivo. Abstract Major depressive disorder is a serious psychiatric disorder for which novel and fast‐acting antidepressants are required.
Sisi Wang   +15 more
wiley   +1 more source

A Bio-Inspired Spiking Neural Network with Few-Shot Class-Incremental Learning for Gas Recognition. [PDF]

open access: yesSensors (Basel), 2023
Huo D   +9 more
europepmc   +1 more source

Towards Effective Open-set Graph Class-incremental Learning

open access: gold
Jiazhen Chen   +5 more
openalex   +1 more source

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

open access: yesAdvanced 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   +10 more
wiley   +1 more source

Incremental attribute reduction algorithm for dominance-based neighborhood relative decision entropy

open access: yes工程科学与技术
ObjectiveIn the big data environment, data is constantly being dynamically updated, which poses certain limitations and challenges to traditional machine learning algorithms.
CHEN Baoguo   +4 more
doaj  

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