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Extreme Minimal Learning Machine [PDF]
, 2019 Extreme Learning Machine (ELM) and Minimal Learning Machine (MLM) are nonlinear and scalable machine learning techniques with randomly generated basis.
Kärkkäinen, Tommi
core +1 more source
Greedy structure learning from data that contain systematic missing values [PDF]
, 2022 Learning from data that contain missing values represents a common phenomenon in many domains. Relatively few Bayesian Network structure learning algorithms account for missing data, and those that do tend to rely on standard approaches that assume ...
Liu, Y +5 more
core +1 more source
Discover GeoscienceThis study presents an implementation of the Agricultural Drought Vulnerability Index (ADVI) using Google Earth Engine to assess drought vulnerability in semi-arid agricultural regions.
Shemin T John, Merin Susan Philip
doaj +1 more source
Extreme learning machine based actuator fault detection of a quadrotor helicopter
Advances in Mechanical Engineering, 2017 Actuator fault might occur during quadrotor helicopter’s flight. It is a demand to detect actuator fault in real-time. An actuator fault detection method based on extreme learning machine is proposed.
Chen Li, Yu Zhang, Ping Li
doaj +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Scientific DataMaterial Testing 2.0 (MT2.0) is a paradigm that advocates for the use of rich, full-field data, such as from digital image correlation and infrared thermography, for material identification.
E. M. C. Jones +7 more
doaj +1 more source
Inverse-Matrix-Free Online Sequential Extreme Learning Machine
Jisuanji kexue yu tansuo, 2020 Since the existing inverse-matrix-free extreme learning machine (IF-ELM) only works well in batched way, this paper extends it into its inverse-matrix-free online sequential version called the inverse-matrix-free online sequential extreme learning ...
ZUO Pengyu, WANG Shitong
doaj +1 more source
A Link Quality Estimation Method Based on Improved Weighted Extreme Learning Machine
IEEE Access, 2021 The link quality of wireless sensor networks is the basis for selecting communication links in routing protocols. Effective link quality estimation is helpful to select high-quality links for communication and to improve network stability.
Linlan Liu, Hui Lv, Jiangbo Xu, Jian Shu
doaj +1 more source
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Learning labelled dependencies in machine translation evaluation [PDF]
, 2009 Recently novel MT evaluation metrics have been presented which go beyond pure string matching, and which correlate better than other existing metrics with human judgements.
He, Yifan, Way, Andy
core +2 more sources