software architecture design,windows kernel/CLR debugging skills,SQL Server 、MySQL,Database architecture、Query Optimization、troubleshooting and high availability, parallel/multi-threaing programming,distributed computing,cloud computing ,Apache Storm, Spark, Flink,Machine Learning, Deep Learning ,TensorFlow an...
Google Scholar Peltier, G. L., Laden, R. & Matranga, M. Student persistence in college: A review of research. J. Coll. Stud. Ret. 1, 357–375 (2000). Article Google Scholar Nandeshwar, A., Menzies, T. & Nelson, A. Learning patterns of university student retention. Expert Syst...
ArticleCASGoogle Scholar Brownlee, J.Stacking Ensemble Machine Learning With Python.https://machinelearningmastery.com/stacking-ensemble-machine-learning-with-python/(2021). Chauhan, N. S.Random Forest®—A Powerful Ensemble Learning Algorithm.https://www.kdnuggets.com/2020/01/random-forest-powerful...
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scholarly Simple access to Google Scholar authors and citations 15 sumy Module for automatic summarization of text documents and HTML pages. 15 python-http-client HTTP REST client, simplified for Python 15 utm Bidirectional UTM-WGS84 converter for python 15 surprise An easy-to-use library for re...
In this paper, we explore a novel approach to end-to-end round-trip time (RTT) estimation using a machine-learning technique known as the experts framework. In our proposal, each of several ‘experts’ guesses a fixed value. The weighted average of these
Survey: Artificial Intelligence, Computational Thinking and Learning. KI-Künstliche Intell. 2022, 36, 5–16. [Google Scholar] [CrossRef] Khan, N.A.; Alshammari, F.S.; Romero, C.A.T.; Sulaiman, M. Study of Nonlinear Models of Oscillatory Systems by Applying an Intelligent Computational ...
[Google Scholar] Hongyan, G.; Hanping, M.; Zhang, X. Determination of lettuce nitrogen content using spectroscopy with efficient wavelength selection and extreme learning machine. Zemdirb. Agric. 2015, 102, 51–58. [Google Scholar] Song, Y.-Q.; Zhao, X.; Su, H.-Y.; Li, B.; Hu,...
A machine learning approach for predicting execution time of spark jobs. Alex Eng J. 2018;57(4):3767–78. Article Google Scholar Cheng G, Ying S, Wang B, Li Y. Efficient performance prediction for apache spark. J Parallel Distrib Comput. 2021;149:40–51. Article Google Scholar Cheng...
Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward neural network (SLFN), which converges much faster than traditional methods and yields promising performance. In this paper, we hope to present a comprehensive review on ELM. Firstly, we will focus on the...