Results 41 to 50 of about 172,692 (312)
A parameter-free learning automaton scheme
Frontiers in Neurorobotics, 2022 For a learning automaton, a proper configuration of the learning parameters is crucial. To ensure stable and reliable performance in stochastic environments, manual parameter tuning is necessary for existing LA schemes, but the tuning procedure is time ...
Xudie Ren, Shenghong Li, Hao Ge
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Calibrating the GAMIL3-1° climate model using a derivative-free optimization method [PDF]
Geoscientific Model DevelopmentParameterization in climate models often involves parameters that are poorly constrained by observations or theoretical understanding alone. Manual tuning by experts can be time-consuming, subjective, and prone to underestimating uncertainties. Automated
W. Liang +10 more
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Review of parameter tuning methods for nature-inspired algorithms [PDF]
, 2023 Almost all optimization algorithms have algorithm-dependent parameters, and the setting of such parameter values can largely influence the behaviour of the algorithm under consideration.
Huyck, C., Yang, X., Joy, G.
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PVP: Pre-trained Visual Parameter-Efficient Tuning [PDF]
, 2023 Large-scale pre-trained transformers have demonstrated remarkable success in various computer vision tasks. However, it is still highly challenging to fully fine-tune these models for downstream tasks due to their high computational and storage costs ...
Hu, Qingyong +5 more
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On the Effectiveness of Parameter-Efficient Fine-Tuning
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Fine-tuning pre-trained models has been ubiquitously proven to be effective in a wide range of NLP tasks. However, fine-tuning the whole model is parameter inefficient as it always yields an entirely new model for each task. Currently, many research works propose to only fine-tune a small portion of the parameters while keeping most of the parameters ...
Zihao Fu +5 more
openaire +2 more sources
FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Tuning database configuration parameters with iTuned [PDF]
Proceedings of the VLDB Endowment, 2009 Database systems have a large number of configuration parameters that control memory distribution, I/O optimization, costing of query plans, parallelism, many aspects of logging, recovery, and other behavior. Regular users and even expert database administrators struggle to tune these parameters for good performance.
Songyun Duan +2 more
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Tuning Parameter Selection for the Adaptive Lasso Using ERIC [PDF]
, 2015 The adaptive Lasso is a commonly applied penalty for variable selection in regression modeling. Like all penalties though, its performance depends critically on the choice of the tuning parameter.
Scott D. Foster (142791) +2 more
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Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer
Molecular Oncology, EarlyView.COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann +61 more
wiley +1 more source
Simple PID Parameter Tuning Method Based on Outputs of the Closed Loop System [PDF]
, 2016 Most of the existing PID parameters tuning methods are only effective with pre-known accurate system models, which often require some strict identification experiments and thus infeasible for many complicated systems.
He YQ(何玉庆) +3 more
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