Artificial neural networks | Machine learning algorithms
A growing self-organizing map (GSOM) is a growing variant of a self-organizing map (SOM). The GSOM was developed to address the issue of identifying a suitable map size in the SOM. It starts with a minimal number of nodes (usually 4) and grows new nodes on the boundary based on a heuristic. By using the value called Spread Factor (SF), the data analyst has the ability to control the growth of the GSOM. All the starting nodes of the GSOM are boundary nodes, i.e. each node has the freedom to grow in its own direction at the beginning. (Fig. 1) New Nodes are grown from the boundary nodes. Once a node is selected for growing all its free neighboring positions will be grown new nodes. The figure shows the three possible node growth options for a rectangular GSOM. (Wikipedia).
Mind maps: GeoGebra Notes New Feature!
🎉 #GeoGebra Notes new feature! 🎉 ➡️ Create your own mind map ➡️ Format any way you like! https://www.geogebra.org/notes
From playlist New Features and Releases
Composite Areas (2 of 2: Finding the areas of composite shapes by slicing into rectangular slices)
More resources available at www.misterwootube.com
From playlist Applications of Measurement
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From playlist Go Geogebra
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From playlist New Precalculus Video Playlist
The Future of AI is Self-Organizing and Self-Assembling (w/ Prof. Sebastian Risi)
#ai #selforganization #emergence Read Sebastian's article here: https://sebastianrisi.com/self_assembling_ai/ OUTLINE: 0:00 - Introduction 2:25 - Start of Interview 4:00 - The intelligence of swarms 9:15 - The game of life & neural cellular automata 14:10 - What's missing from neural CAs
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Self-Organization and Self-Propulsion of Active Biological Building Blocks by Jennifer Ross
PROGRAM STATISTICAL BIOLOGICAL PHYSICS: FROM SINGLE MOLECULE TO CELL (ONLINE) ORGANIZERS: Debashish Chowdhury (IIT Kanpur), Ambarish Kunwar (IIT Bombay) and Prabal K Maiti (IISc, Bengaluru) DATE: 07 December 2020 to 18 December 2020 VENUE: Online 'Fluctuation-and-noise' are themes tha
From playlist Statistical Biological Physics: From Single Molecule to Cell (Online)
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From playlist Universality in random structures: Interfaces, Matrices, Sandpiles - 2019
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From playlist MIT 7.016 Introductory Biology, Fall 2018
Gov 2.0 Summit 09: "Rapid Fire: Setting the Stage"
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From playlist Gov 2.0 Summit 2009
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Jeff Lichtman is Jeremy R. Knowles Professor of Molecular and Cellular Biology at Harvard. He received an A.B. from Bowdoin (1973), and an M.D. and Ph.D. from Washington University in St. Louis (1980) where he worked for 30 years before moving to Cambridge (2004). He is a member of Harvard
From playlist TEDxCaltech: The Brain - 1/18/13
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From playlist Mathematics
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Everything we know, think and feel—everything!—comes from our brains. But consciousness, our private sense of inner awareness, remains a mystery. Brain activities—spiking of neuronal impulses, sloshing of neurochemicals—are not at all the same thing as sights, sounds, smells, emotions. How
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How to Create Your Own GeoGebra Activities: Remote Learning with GeoGebra (Part 2)
Here, we will learn how to 1) Create a #GeoGebra activity/resource from scratch. 2) Customize the toolbar (so students see less tools from which to choose) 3) Turn a construction made within a #GeoGebra app into a working activity/resource #EdTech #math #maths #DiscoveryLearning Link to
From playlist Remote Learning with GeoGebra