Results 91 to 100 of about 163,423 (274)

Subgradient Regularized Multivariate Convex Regression at Scale

SIAM Journal on Optimization
We present new large-scale algorithms for fitting a subgradient regularized multivariate convex regression function to $n$ samples in $d$ dimensions -- a key problem in shape constrained nonparametric regression with applications in statistics, engineering and the applied sciences.
Wenyu Chen, Rahul Mazumder
openaire   +2 more sources

Face Image Recognition Method Using Non-Convex Mixed Norm Error Coding [PDF]

Jisuanji gongcheng
In response to the recognition challenges encountered by face images in complex environments with noise pollution, lighting variations, and occlusions, a face recognition method based on Non-convex Mixed-Norm error coding (NMN) is proposed.
GUO Junbo, MA Xiang
doaj   +1 more source

NUDT21 Drives T‐Cell Acute Lymphoblastic Leukemia Through Dual Regulation of Alternative Polyadenylation and Transcriptional Activation

Advanced Science, EarlyView.
In summary, our study defines a coordinated oncogenic model in which NUDT21 integrates alternative polyadenylation–dependent UBE2D3 stabilization and transcriptional activation to sustain MYC‐driven T‐ALL cell survival, thereby establishing NUDT21 as a central regulatory node and a promising therapeutic target.
Conglian Qiu, Jianwei Wang, Zhiheng Li, Qi Ji, Hui Zhang, Qinyi Zhang, Senlin Zhang, Juanjuan Yu, Yanfang Tao, Yijun Wu, Chunxia Shi, Zong Zai, Zimu Zhang, Yizhen Li, Zhenjiang Bai, Shaoyan Hu, Jian Pan, Yang Yang, Shuiyan Wu   +18 more
wiley   +1 more source

Convex Cost Functions for Support Vector Regression [PDF]

, 1998
The concept of Support Vector Regression is extended to a more general class of convex cost functions. It is shown how the resulting convex constrained optimization problems can be efficiently solved by a Primal-Dual Interior Point path following method. Both computational feasibility and improvement of estimation is demonstrated in the experiments.
Smola, A., Schölkopf, B., Müller, K.
openaire   +2 more sources

Nanoscale Spatial Organization of ARC High‐ and Low‐Order Assemblies at Excitatory Synapses

Advanced Science, EarlyView.
ARC (Activity‐Regulated Cytoskeleton‐Associated protein) mediates synaptic plasticity by forming nanoscale assemblies in neurons. Using super‐resolution microscopy and time‐resolved anisotropy with targeted tagging, the study reveals low‐order ARC assemblies at synapses colocalizing with AMPARs, semi‐circular structures at endocytic zones, and 60–80 nm
Martina Damenti, Giovanna Coceano, Mariline Mendes Silva, Jonatan Alvelid, Chiara Sgattoni, Andrea Volpato, Lea Rems, Luciano A. Masullo, Eduard M. Unterauer, Rafal Kowalewski, Lucie Delemotte, Erdinc Sezgin, Ralf Jungmann, Ilaria Testa   +13 more
wiley   +1 more source

Vacuum–Laser Fabrication of Programmable Soft Actuators

Advanced Science, EarlyView.
A rapid and accessible fabrication strategy for inflatable soft actuators is presented, combining vacuum sealing with laser cutting of low‐cost thermoplastic pouches. The method enables precise sealing, fast fabrication, and programmable multi‐cell geometries.
Ashkan Rezanejad, Mostafa Mousa, Yuxuan Wang, Michael Adlerstein, Junke Yao, Antonio E. Forte   +5 more
wiley   +1 more source

Overfitting Reduction in Convex Regression

Convex regression is a method for estimating the convex function from a data set. This method has played an important role in operations research, economics, machine learning, and many other areas. However, it has been empirically observed that convex regression produces inconsistent estimates of convex functions and extremely large subgradients near ...
Liao, Zhiqiang, Dai, Sheng, Lim, Eunji, Kuosmanen, Timo   +3 more
openaire   +2 more sources

Bioinspired Hierarchical Architecture with Water Transport Channels for Strong Adhesion at the Sweating Interface

Advanced Science, EarlyView.
To address adhesion failure in sweaty epidermal electronics, this study proposes a cross‐species, multi‐scale biomimetic interface. By modeling staged wet adhesion, it integrates self‐regulating liquid bridges with directional drainage. This design ensures stable, high‐performance flexible sensing in complex physiological environments, offering a ...
Jieliang Zhao, Yu Xiang, Heng Wang, Huiqing Xu, Zhong Liu, Lulu Liang, Fengwen Jiang, Xuemei Chen, Wenzhong Wang, Chenqing Liu, Guodong Liu, Shaoze Yan, Xu Hou   +12 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

The NFDA-Nonsmooth Feasible Directions Algorithm applied to construction of Pareto Fronts of Ridge and Lasso Regressions

Trends in Computational and Applied Mathematics
Ridge and Lasso regressions are types of linear regression, a machine learning tool for dealing with data. Based on multiobjective optimization theory, we transform Ridge and Lasso regression into bi-objective optimization problems. The Pareto fronts of
W. P. Freire
doaj   +1 more source