Results 211 to 220 of about 49,315 (263)

Ultralow‐Energy Analog Reservoir Computing via Reconfigurable 2‐Transistor Memory

Advanced Science, EarlyView.
This work presents a reconfigurable reservoir‐computing platform based on an oxide InSnZnO two‐transistor cell in which a hold bias selects volatile relaxation for the reservoir or quasi‐non‐volatile multilevel storage for the readout. Multi‐level hold‐bias kernel tune relaxation currents to generate diverse time constants, enriching reservoir states ...
Jeong‐Min Park, Yeong‐In Kim, Jeong Hyun Yoon, Sein Lee, Wooho Ham, Dongyun Lee, Junseo Lee, Dongwook Shin, Kyung Jun Park, Seok Daniel Namgung, Min‐Kyu Song, Jang‐Yeon Kwon   +11 more
wiley   +1 more source

Developing Metal–Polyphenol Network‐Based Single‐Protein Particle Encapsulation System for Sustained Release of Whey Protein to Mitigate Sarcopenia

Advanced Science, EarlyView.
Sarcopenia has emerged as a major health challenge in the aging population. Developing a sustained‐release system for whey protein may enhance its effectiveness in mitigating sarcopenia. Herein, a novel “single‐protein particle encapsulation” (SPPE) system is developed to protect whey protein and control its release.
Yafei Zhang, Yuning Zhang, Yongjian Ai, Yao Lu, Heng Quan, Zhen Zhang, Yuqi Wang, Yujia Luo, Xiaoxu Zhang, Yingying Lin, Sijia Song, Huiyuan Guo   +11 more
wiley   +1 more source

Disentangling Heterogeneous Molecular Networks for Multi‐Omics‐Driven Cancer Driver Discovery

Advanced Science, EarlyView.
DRIVE integrates PPI topology and pan‐cancer multi‐omics profiles through dual‐view graph disentanglement, contrastive representation learning, and joint optimization. Across six PPI networks, DRIVE outperforms ten baselines and remains robust to structural and annotation perturbations.
Xinjing Gong, Ji Li, Mu Su, Peishen Yu, Te Ma, Ruiyang Zhai, Chenye Zhang, Mengyan Zhang, Yan Zhang   +8 more
wiley   +1 more source

Adaptive Kernel Density Soft-Gating for Robust GNSS/INS Georeferencing of Highly Dynamic Remote-Sensing Platforms Under Measurement Outliers. [PDF]

Sensors (Basel)
Feng K, Li J, Sun Z.
europepmc   +1 more source

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Reweighted kernel density estimation

Computational Statistics & Data Analysis, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Martin L. Hazelton, Berwin A. Turlach
openaire   +3 more sources

Complementary Kernel Density Estimation

Pattern Recognition Letters, 2012
Generative models for vision and pattern recognition have been overshadowed in recent years by powerful non-parametric discriminative models. These discriminative models can learn arbitrary decision boundaries between classes and have proved very effective in classification and detection problems.
Xu Miao, Ali Rahimi, Rajesh P. N. Rao
openaire   +1 more source

Estimating the Variance of a Kernel Density Estimation

2010
This article proposes an interval-valued extension of kernel density estimation. We show that the imprecision of this interval-valued estimation is highly correlated with the variance of the density estimation induced by the statistical variations of the set of observations.
Bilal Nehme, Olivier Strauss, Kevin Loquin   +2 more
openaire   +1 more source

On nonparametric kernel density estimates

Biometrika, 1990
SUMMARY The paper introduces the idea of inadmissible kernels and shows that an Epanechnikov type kernel is the only admissible kernel. An analysis of kernel density estimates leads to two new methods of bias reduction. We also discuss a general method of improving kernel density estimates in the sense of having smaller mean squared error.
M. Samiuddin, G. M. El-Sayyad
openaire   +1 more source

Data Structures in Kernel Density Estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1985
We analyze and compare several data structures and algorithms for evaluating the kernel density estimate. Frequent evaluations of this estimate are for example needed for plotting, error estimation, Monte Carlo estimation of probabilities and functionals, and pattern classification. An experimental comparison is included.
Luc Devroye, Fred Machell
openaire   +2 more sources

Robust kernels for kernel density estimation

Economics Letters, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Shaoping, Li, Ang, Wen, Kuangyu, Wu, Ximing   +3 more
openaire   +2 more sources