Zobrazeno 1 - 10
of 2 370
pro vyhledávání: '"Liu Jingbo"'
Publikováno v:
He jishu, Vol 47, Iss 2, Pp 84-92 (2024)
BackgroundThe total dose effect of ionization on satellites in Geostationary Earth Orbit (GEO) is caused by space particle radiation in GEO.PurposeThis study aims to combine high-performance cerium-doped yttrium-lutetium silicate (LYSO:Ce) crystals w
Externí odkaz:
https://doaj.org/article/730cd8bbbfb5445288f7fb10e7b21c0a
Characteristics and formation mechanism of Hf inclusions in directionally casted Ni-based superalloy
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 10, Pp 51-58 (2023)
Scanning electron microscopy, transmission electron microscopy and energy disperse spectrum were used to analyze the morphologies, microstructures and compositions of Hf-rich inclusions in DZ125 and DZ22 Ni-based superalloys. The solidification micro
Externí odkaz:
https://doaj.org/article/e10f5161ccf44fc698064efc1a9d77c8
Autor:
Liu Jingbo
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Human beings have a long history of understanding, exploring, and pursuing music and health, and ancient and modern cultures have provided detailed and clear records of this. We here attempt to examine the effects of music on individuals’ emotional
Externí odkaz:
https://doaj.org/article/fc351f00b6de4d71836a39f164ef0197
Training Learning-to-Rank models for e-commerce product search ranking can be challenging due to the lack of a gold standard of ranking relevance. In this paper, we decompose ranking relevance into content-based and engagement-based aspects, and we p
Externí odkaz:
http://arxiv.org/abs/2409.17460
Customer shopping behavioral features are core to product search ranking models in eCommerce. In this paper, we investigate the effect of lookback time windows when aggregating these features at the (query, product) level over history. By studying th
Externí odkaz:
http://arxiv.org/abs/2409.17456
The Approximate Message Passing (AMP) algorithm has garnered significant attention in recent years for solving linear inverse problems, particularly in the field of Bayesian inference for high-dimensional models. In this paper, we consider sampling f
Externí odkaz:
http://arxiv.org/abs/2407.10763
In communications theory, the capacity of multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems is fundamentally determined by wireless channels, which exhibit both diversity and correlation in spatial, frequen
Externí odkaz:
http://arxiv.org/abs/2407.07702
Autor:
Liu, Jingbo
Suppose that we first apply the Lasso to a design matrix, and then update one of its columns. In general, the signs of the Lasso coefficients may change, and there is no closed-form expression for updating the Lasso solution exactly. In this work, we
Externí odkaz:
http://arxiv.org/abs/2405.03063
Publikováno v:
Proceedings of the 41st International Conference on Machine Learning, PMLR 235:60134-60178, 2024
We study the asymptotic error of score-based diffusion model sampling in large-sample scenarios from a non-parametric statistics perspective. We show that a kernel-based score estimator achieves an optimal mean square error of $\widetilde{O}\left(n^{
Externí odkaz:
http://arxiv.org/abs/2402.15602
Consider the task of estimating a random vector $X$ from noisy observations $Y = X + Z$, where $Z$ is a standard normal vector, under the $L^p$ fidelity criterion. This work establishes that, for $1 \leq p \leq 2$, the optimal Bayesian estimator is l
Externí odkaz:
http://arxiv.org/abs/2401.16701