Results 121 to 130 of about 5,507 (168)

Improved variations for Extreme Learning Machine: Space embedded ELM and optimal distribution ELM

2017 20th International Conference on Information Fusion (Fusion), 2017
Due to the simplicity of its implementation and the impressive performance, Extreme Learning Machine (ELM) has been widely used in applications of machine learning. However, there are two potential problems in ELM: 1) lack of an efficient method for minimizing error; 2) consideration of little inherent structural information about correlations among ...
Hong Han, Lu Gan, Lan He
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Ensemble Delta Test- Extreme Learning Machine (DT-ELM) For Regression

Neurocomputing, 2014
Extreme learning machine (ELM) has shown its good performance in regression applications with a very fast speed. But there is still a difficulty to compromise between better generalization performance and smaller complexity of the ELM (a number of hidden nodes).
Yu, Qi, van Heeswijk, Mark, Miche, Yoan, Nian, Rui, He, Bo, Séverin, Eric, Lendasse, Amaury   +7 more
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KLASIFIKASI KUALITAS AIR MENGGUNAKAN METODE EXTREME LEARNING MACHINE (ELM)

2023
Air merupakan senyawa yang penting bagi semua makhluk hidup di bumi. Kebutuhan air bersih meningkat seiring dengan berjalannya waktu, hal tersebut berbanding terbalik dengan ketersediannya di alam. Hal ini disebabkan karena banyaknya pembangunan tanpa memperhatikan keseimbangan lingkungan sekitar sehingga semakin sedikitnya daerah resapan air terutama ...
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Improving Bread Sales Predictions through Extreme Learning Machine (ELM)

Proceeding of International Conference on Digital, Social, and Science
The bakery sector is experiencing growth, with enterprises like XY Bakery & Cake Shop providing their products directly to consumers. The company's bread sales have exhibited irregular pattern, rendering the task of establishing precise sales forecasts difficult.
Nurhayati Sembiring, Erma Dwi Yanti, Khairina Mahfuzah Sibarani   +2 more
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Efficient Extreme Learning Machine (ELM) Based Algorithm for Electrocardiogram (ECG) Heartbeat Classification

2020
Electrocardiogram (ECG) estimates the electric signals activity of the human heart and is extensively used for sensing heart aberrations due to ease of use and non-invasive application on human body. Human heart is a one of the vital organs of human body.
Khalil, Khurram, Asgher, Umer, Ayaz, Yasar, Ahmad, Riaz, Nazir, Salman, Ali, Sara, Scataglini, Sofia, Oka, Noriyuki   +7 more
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ELM-MHC: An Improved MHC Identification Method with Extreme Learning Machine Algorithm

Journal of Proteome Research, 2019
The major histocompatibility complex (MHC) is a term for all gene groups of a major histocompatibility antigen. It binds to peptide chains derived from pathogens and displays pathogens on the cell surface to facilitate T-cell recognition and perform a series of immune functions.
Yanjuan Li, Mengting Niu, Quan Zou
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Scikit-ELM: An Extreme Learning Machine Toolbox for Dynamic and Scalable Learning

2020
This paper presents a novel library for Extreme Learning Machines (ELM) called Scikit-ELM. Usability and flexibility of the approach are the main focus points in this work, achieved primarily through a tight integration with Scikit-Learn, a de facto industry standard library in Machine Learning outside Deep Learning.
Akusok Anton, Björk Kaj-Mikael, Leal Leonardo Espinosa, Akusok Anton, Björk Kaj-Mikael   +4 more
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ELM-MC: multi-label classification framework based on extreme learning machine

International Journal of Machine Learning and Cybernetics, 2020
Multi-label classification methods aim to a class of application problems where each individual contains a single instance while associates with a set of labels simultaneously. In this paper, we formulate a novel multi-label classification method based on extreme learning machine framework, named ELM-MC algorithm.
Haigang Zhang, Jinfeng Yang, Guimin Jia, Shaocheng Han, Xinran Zhou   +4 more
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FE-ELM: A New Friend Recommendation Model with Extreme Learning Machine

Cognitive Computation, 2017
Friend recommendation is one of the most popular services in location-based social network (LBSN) platforms, which recommends interested or familiar people to users. Except for the original social property and textual property in social networks, LBSN specially owns the spatial-temporal property. However, none of the existing methods fully utilized all
Zhen Zhang, Xiangguo Zhao, Guoren Wang
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Student Prediction of Drop Out Using Extreme Learning Machine (ELM) Algorithm

2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS), 2020
The purpose of this study was to predict students dropping out of the Education Management Doctoral Program of FKIP Mulawarman University and to evaluate the Extreme Learning Machine in predicting student dropouts. This research uses the Extreme Learning Machine algorithm, the feedforward neural network learning method and the Support Vector Machine ...
Muhammad Ibnu Sa'ad, null Kusrini, M. Syukri Mustafa   +2 more
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