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] | ||
| + | * [[Algorithms]] | ||
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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> | <youtube>oOB4evKlEmQ</youtube> | ||
Revision as of 12:55, 2 July 2023
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.
