Difference between revisions of "Energy-based Model (EBN)"

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[https://www.youtube.com/results?search_query=Energy-based+Model+EBN YouTube search...]
 
[https://www.youtube.com/results?search_query=Energy-based+Model+EBN YouTube search...]
 
[https://www.google.com/search?q=Energy-based+Model+EBN+machine+learning+ML+artificial+intelligence ...Google search]
 
[https://www.google.com/search?q=Energy-based+Model+EBN+machine+learning+ML+artificial+intelligence ...Google search]
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* [[Energy]]
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* [[AI Solver]] ... [[Algorithms]] ... [[Algorithm Administration|Administration]] ... [[Model Search]] ... [[Discriminative vs. Generative]] ... [[Train, Validate, and Test]]
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* [[Immersive Reality]] ... [[Metaverse]] ... [[Omniverse]] ... [[Transhumanism]] ... [[Religion]]
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* [[Telecommunications]] ... [[Computer Networks]] ... [[Telecommunications#5G|5G]] ... [[Satellite#Satellite Communications|Satellite Communications]] ... [[Quantum Communications]] ... [[Agents#Communication | Communication Agents]] ... [[Smart Cities]] ...  [[Digital Twin]] ... [[Internet of Things (IoT)]]
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Energy-Based Models (EBMs) discover data dependencies by applying a measure of compatibility (scalar energy) to each configuration of the variables. For a model to make a prediction or decision (inference) it needs to set the value of observed variables to 1 and finding values of the remaining variables that minimize that “energy” level.
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EBMs are also known as non-normalized probabilistic models, specify probability density or mass functions up to an unknown normalizing constant. Unlike most other probabilistic models, EBMs do not place a restriction on the tractability of the normalizing constant, thus are more flexible.
  
 
<youtube>oOB4evKlEmQ</youtube>
 
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Latest revision as of 19:37, 19 March 2024

YouTube search... ...Google search

Energy-Based Models (EBMs) discover data dependencies by applying a measure of compatibility (scalar energy) to each configuration of the variables. For a model to make a prediction or decision (inference) it needs to set the value of observed variables to 1 and finding values of the remaining variables that minimize that “energy” level.

EBMs are also known as non-normalized probabilistic models, specify probability density or mass functions up to an unknown normalizing constant. Unlike most other probabilistic models, EBMs do not place a restriction on the tractability of the normalizing constant, thus are more flexible.