Results 41 to 50 of about 605,541 (277)

An Extreme Learning Machine Based on the Mixed Kernel Function of Triangular Kernel and Generalized Hermite Dirichlet Kernel

Discrete Dynamics in Nature and Society, 2016
According to the characteristics that the kernel function of extreme learning machine (ELM) and its performance have a strong correlation, a novel extreme learning machine based on a generalized triangle Hermitian kernel function was proposed in this ...
Senyue Zhang, Wenan Tan
doaj   +1 more source

The Extreme Value Machine

, 2017
It is often desirable to be able to recognize when inputs to a recognition function learned in a supervised manner correspond to classes unseen at training time.
Boult, Terrance E., Jain, Lalit P., Rudd, Ethan M., Scheirer, Walter J.   +3 more
core   +1 more source

Landslide displacement prediction based on AdaBoost-PSO-ELM algorithm

Dianzi Jishu Yingyong, 2019
The process of landslides in mine dumps is a dynamic, large-delay, highly nonlinear characteristic problem. There are many factors affecting the landslide of mine dumps, and each characteristic index has mutual influence.
Zhang Xiaoming, Cao Guoqing, Chen Zengqiang, He Jiakang   +3 more
doaj   +1 more source

Secure Multi-Party Computation Based Privacy Preserving Extreme Learning Machine Algorithm Over Vertically Distributed Data

, 2015
Especially in the Big Data era, the usage of different classification methods is increasing day by day. The success of these classification methods depends on the effectiveness of learning methods.
Çatak, Ferhat Özgür
core   +1 more source

Extreme learning machines [PDF]

, 2019
This thesis introduces novel fast learning algorithms for neural networks namely extreme learning machine (ELM) and its variants. DOCTOR OF PHILOSOPHY (EEE)
openaire   +2 more sources

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

Development of an agricultural drought vulnerability index for risk assessment, insurance pricing, and disaster management through Google Earth engine

Discover Geoscience
This 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

Parsimonious Kernel Fisher Discrimination

, 2007
By applying recent results in optimization transfer, a new algorithm for kernel Fisher Discriminant Analysis is provided that makes use of a non-smooth penalty on the coefficients to provide a parsimonious solution.
A. Leach, B. Chen, B. Krishnapuram, B. Schölkopf, D.R. Hunter, G. Harper, G. Rätsch, K. Lange, K.C. Kiwiel, R. Dutter, R.O. Duda, S.A. Billings   +11 more
core   +1 more source

AAA+ protein unfoldases—the Moirai of the proteome

FEBS Letters, EarlyView.
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley   +1 more source

Digital image correlation and infrared thermography data for seven unique geometries of 304L stainless steel

Scientific Data
Material 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, P. L. Reu, S. L. B. Kramer, A. R. Jones, J. D. Carroll, K. N. Karlson, D. T. Seidl, D. Z. Turner   +7 more
doaj   +1 more source