Results 81 to 90 of about 151,060 (281)
A multifidelity approach to continual learning for physical systems
Machine Learning: Science and TechnologyWe introduce a novel continual learning method based on multifidelity deep neural networks. This method learns the correlation between the output of previously trained models and the desired output of the model on the current training dataset, limiting ...
Amanda Howard, Yucheng Fu, Panos Stinis
doaj +1 more source
An Appraisal of Incremental Learning Methods
Entropy, 2020 As a special case of machine learning, incremental learning can acquire useful knowledge from incoming data continuously while it does not need to access the original data.
Yong Luo +3 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.We present CatTransVAE, a catalyst‐specialized chemical language model (CLM) built on a transformer variational autoencoder (VAE), developed through pretraining on general compounds followed by fine‐tuning on diverse catalyst databases. A template‐guided generation framework is introduced to enable controlled catalyst design under structural ...
Apakorn Kengkanna, Masahito Ohue
wiley +1 more source
The Collective Power of Bacteria as a Blueprint for Emergent Intelligence
Advanced Intelligent Systems, EarlyView.Small cells, powerful collectives. Bacteria demonstrate how sophisticated behaviors can emerge from many simple individuals working together. We explore the remarkable world of bacterial communities and the mechanisms that underpin their complex emergent behaviors, enabling impressive adaptability, robustness, and responsiveness to changing ...
Johanna A. Blee +2 more
wiley +1 more source
Catastrophic forgetting scenario.
Class-incremental learning during pre-training led to a catastrophic forgetting scenario where the network never learned single digits representation enough to facilitate learning of Task 2.
Rhodri Cusack (35667) +1 more
core +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Chief executive officers (CEOs) play a pivotal role in shaping public discourse on climate change through social media, yet how their language use affects the effectiveness of climate‐related posts remains unclear. Drawing on schema‐congruity theory and leader role expectations, we conceptualize certainty in language as congruent and anxiety ...
Ellen Weber +4 more
wiley +1 more source
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.A transparent and flexible ITO/ZnO/TiO2/MXene optoelectronic memristor is developed via low‐temperature solution processing, exhibiting intrinsic self‐rectification and analog synaptic plasticity. The device enables wavelength‐selective photosynaptic response and multimodal learning behaviors, demonstrating strong potential for neuromorphic ...
Shoaib Anwer +5 more
wiley +1 more source
Energy Science &Engineering, EarlyView.This study proposes a fault diagnostic approach for photovoltaic systems using normalized DC voltage and current indices derived from routinely collected inverter and environmental data. The approach enables string‐ and array‐level fault diagnosis without additional measurement equipment and supports operation and maintenance decision‐making.
Woo Gyun Shin +5 more
wiley +1 more source
Affective state influences retrieval-induced forgetting for integrated knowledge [PDF]
, 2013 Selectively testing parts of learned materials can impair later memory for nontested materials. Research has shown that such retrieval-induced forgetting occurs for low-integrated materials but may be prevented for high-integrated materials.
Reinhard Pekrun +5 more
core +2 more sources
Feminist Anthropology, EarlyView.Abstract When I was 12, my family told me a story about their community falling apart and coming together, a time when someone tried putting a nuclear facility in their (our?) hometown. Since we moved when I was too young to remember, the story had little significance until I embarked on a “hometown” ethnographic journey for my dissertation.
Chandler L. Classen
wiley +1 more source