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Gritsenko, Andrey – ProQuest LLC, 2017
Extreme Learning Machine (ELM) is a training algorithm for Single-Layer Feed-forward Neural Network (SLFN). The difference in theory of ELM from other training algorithms is in the existence of explicitly-given solution due to the immutability of initialed weights. In practice, ELMs achieve performance similar to that of other state-of-the-art…
Descriptors: Artificial Intelligence, Visualization, Regression (Statistics), Probability
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Rudziewicz, Michael; Bossé, Michael J.; Marland, Eric S.; Rhoads, Gregory S. – International Journal for Mathematics Teaching and Learning, 2017
Humans possess a remarkable ability to recognise both simple patterns such as shapes and handwriting and very complex patterns such as faces and landscapes. To investigate one small aspect of human pattern recognition, in this study participants position lines of "best fit" to two-dimensional scatter plots of data. The study investigates…
Descriptors: Visualization, Pattern Recognition, Graphs, Data
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Rabab'h, Belal; Veloo, Arsaythamby – International Education Studies, 2015
Jordanian 8th grade students revealed low achievement in mathematics through four periods (1999, 2003, 2007 & 2011) of Trends in International Mathematics and Science Study (TIMSS). This study aimed to determine whether spatial visualization mediates the affect of Mathematics Learning Strategies (MLS) factors namely mathematics attitude,…
Descriptors: Foreign Countries, Grade 8, Mathematics Achievement, Mathematics Skills