On early stopping in gradient descent learning
In this paper we study a family of gradient descent algorithms to approximate the regression
function from reproducing kernel Hilbert spaces (RKHSs), the family being characterized by …
function from reproducing kernel Hilbert spaces (RKHSs), the family being characterized by …
[HTML][HTML] CO2 hydrogenation to high-value products via heterogeneous catalysis
…, Z Xu, AG Russell, Q Li, M Fan, YG Yao - Nature …, 2019 - nature.com
Recently, carbon dioxide capture and conversion, along with hydrogen from renewable
resources, provide an alternative approach to synthesis of useful fuels and chemicals. People …
resources, provide an alternative approach to synthesis of useful fuels and chemicals. People …
High‐Density, ordered ultraviolet light‐emitting ZnO nanowire arrays
Polycrystalline ZnO nanowires have been grown in anodic aluminum oxide templates using
a dry vapor‐deposition method. The nanowires have a high aspect ratio and a uniform …
a dry vapor‐deposition method. The nanowires have a high aspect ratio and a uniform …
[HTML][HTML] Subgroup-specific structural variation across 1,000 medulloblastoma genomes
Medulloblastoma, the most common malignant paediatric brain tumour, is currently treated
with nonspecific cytotoxic therapies including surgery, whole-brain radiation, and aggressive …
with nonspecific cytotoxic therapies including surgery, whole-brain radiation, and aggressive …
Photoreactive TiO2/Carbon Nanotube Composites: Synthesis and Reactivity
Electron−hole recombination limits the efficiency of TiO 2 photocatalysis. We have investigated
the efficacy with which anatase/carbon nanotube (CNT) composite materials reduce …
the efficacy with which anatase/carbon nanotube (CNT) composite materials reduce …
[HTML][HTML] Pre-trained models: Past, present and future
Large-scale pre-trained models (PTMs) such as BERT and GPT have recently achieved
great success and become a milestone in the field of artificial intelligence (AI). Owing to …
great success and become a milestone in the field of artificial intelligence (AI). Owing to …
A strong, biodegradable and recyclable lignocellulosic bioplastic
Renewable and biodegradable materials derived from biomass are attractive candidates to
replace non-biodegradable petrochemical plastics. However, the mechanical performance …
replace non-biodegradable petrochemical plastics. However, the mechanical performance …
Position-based modeling for wireless channel on high-speed railway under a viaduct at 2.35 GHz
…, J Qiu, H Chen, L Yu, W Dong, Y Yuan - IEEE Journal on …, 2012 - ieeexplore.ieee.org
This paper presents a novel and practical study on the position-based radio propagation
channel for High-Speed Railway by performing extensive measurements at 2.35 GHz in China. …
channel for High-Speed Railway by performing extensive measurements at 2.35 GHz in China. …
FewRel: A large-scale supervised few-shot relation classification dataset with state-of-the-art evaluation
We present a Few-Shot Relation Classification Dataset (FewRel), consisting of 70, 000
sentences on 100 relations derived from Wikipedia and annotated by crowdworkers. The relation …
sentences on 100 relations derived from Wikipedia and annotated by crowdworkers. The relation …
Data centers power reduction: A two time scale approach for delay tolerant workloads
In this work we focus on a stochastic optimization based approach to make distributed routing
and server management decisions in the context of large-scale, geographically distributed …
and server management decisions in the context of large-scale, geographically distributed …