Extreme learning machine (ELM) has gained increasing interest from various research fields recently. In this review, we aim to report the current state of the theoretical research and practical advances on this subject. We first give an overview of ELM from the theoretical perspective, including the interpolation theory, universal approximation capability, and generalization ability. Then we fo...

Extreme Learning Machine (ELM) and its variants have been widely used for many applications due to its fast convergence and good generalization performance. Though the distributed ELM based on MapReduce framework can handle very large scale training dataset in big data applications, how to cope with its rapidly updating is still a challenging task. Therefore, in this paper, a novel Elastic Extr...

We have previously shown that murine ELM erythroleukemia cells can only be grown in vitro in the presence of a stromal feeder layer, or alternatively stem cell factor (SCF), without which they differentiate. When grown in the presence of SCF, ELM cells can still differentiate in response to erythropoietin (Epo), but growth on stroma prevents this. We previously isolated a stroma-independent ELM...

elm (ulmus glabra hudson) is one of the most valuable species which distribute all over the caspian forests. nowadays, elm is considered an endangered species due to intensive human activities and outbreak of dutch elm disease over the last few decades. to suitable management of elm, there is need to have indices which describe; current structure and its changes across the time. this study besi...

This paper describes a technique using Support Vector (SVM) and Extreme Learning Machines (ELM) for automatic recognition of off-line handwritten Arabic (Indian) numerals. The features of angle, distance, horizontal, and vertical span are extracted from these numerals. The database has 44 writers with 48 samples of each digit totaling 21120 samples. A two-stage exhaustive parameter estimation t...

We report on the status of a set of ITPA-sponsored experiments among the Alcator C-Mod, MAST and NSTX devices to compare the characteristics and access conditions of small edge-localized modes (ELMs). Small ELM discharges were developed in each of the machines, and common features were identified, both in terms of ELM structure and operational windows. A common observation is an apparent βped t...

An edge-localized mode (ELM) H-mode regime, supported by electron cyclotron heating, has been successfully established in a "snowflake" (second-order null) divertor configuration for the first time in the TCV tokamak. This regime exhibits 2 to 3 times lower ELM frequency and 20%-30% increased normalized ELM energy (ΔWELM/Wp) compared to an identically shaped, conventional single-null diverted H...

Extreme learning machine (ELM) has emerged as an efficient and effective learning algorithm for classification and regression tasks. Most of the existing research on the ELMs mainly focus on supervised learning. Recently, researchers have extended ELMs for semi-supervised learning, in which they exploit both the labeled and unlabeled data in order to enhance the learning performances. They have...