Results 71 to 80 of about 114,557 (285)

Efficient Covariance Matrix Update for Variable Metric Evolution Strategies [PDF]

, 2009
International audienceRandomized direct search algorithms for continuous domains, such as Evolution Strategies, are basic tools in machine learning. They are especially needed when the gradient of an objective function (e.g., loss, energy, or reward ...
Hansen, Nikolaus, Igel, Christian, Suttorp, Thorsten   +2 more
core   +2 more sources

Active covariance matrix adaptation for the (1+1)-CMA-ES [PDF]

Proceedings of the 12th annual conference on Genetic and evolutionary computation, 2010
We propose a novel variant of the (1+1)-CMA-ES that updates the distribution of mutation vectors based on both successful and unsuccessful trial steps. The computational costs of the adaptation procedure are quadratic in the dimensionality of the problem, and the algorithm retains all invariance properties.
Arnold, Dirk V., Hansen, Nikolaus
openaire   +2 more sources

4‐Hydroxybenzyl Alcohol Mitigates Hyperlipidemia‐Associated Depression by Inhibiting Neuroinflammation via the NKIRAS2/NF‐κB Pathway

Advanced Science, EarlyView.
4‐HBA upregulates NKIRAS2 levels, inhibiting the activation of the NF‐κB pathway and subsequently reducing the levels of neuroinflammatory markers. This modulation helps restore normal mood and behavior in hyperlipidemic conditions, providing a potential therapeutic strategy for managing hyperlipidemia‐associated depression.
Ying Zhang, Meng Teng, Wenxuan He, Lanzhou Li, Yongfeng Zhang, Shimiao Wang, Chunyue Wang, Di Wang   +7 more
wiley   +1 more source

Four-way data analysis within the linear mixed modelling framework

Scientia Agricola, 2015
Cultivars have to be evaluated under different crop management systems across agro-ecosystems and years using multi-environment trials (MET) before releasing them to the market.
Marcin Studnicki, Wiesław Mądry, Adriana Derejko, Kinga Noras, Elżbieta Wójcik-Gront   +4 more
doaj   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Jing Huang, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

Quaternion-Based Robust Attitude Estimation Using an Adaptive Unscented Kalman Filter

Sensors, 2019
This paper presents the Quaternion-based Robust Adaptive Unscented Kalman Filter (QRAUKF) for attitude estimation. The proposed methodology modifies and extends the standard UKF equations to consistently accommodate the non-Euclidean algebra of unit ...
Antônio C. B. Chiella, Bruno O. S. Teixeira, Guilherme A. S. Pereira   +2 more
doaj   +1 more source

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

Accelerating evolutionary algorithms by means of Gaussian processes [PDF]

, 2015
Tato práce zkoumá výkon gaussovských procesů (GP) v souvislosti s metodou zvanou Covariance Matrix Adaptation Evolution Strategy (CMA-ES), state-of-the-art v oblasti evoluční optimalizace.
Kudinov Andrej
core  

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

Source mask optimization using the covariance matrix adaptation evolution strategy

Optics Express, 2020
Source mask optimization (SMO) is one of the indispensable resolution enhancement techniques to guarantee the image fidelity and process robustness for the 2Xnm technology node and beyond. The optimization capacity and convergence efficiency of SMO are important, especially for full-chip SMO.
Guodong Chen, Sikun Li, Xiangzhao Wang
openaire   +2 more sources