Minimal Solver vs Non Minimal Solver
15 Dec 2022 | Machine Learning
M-Esitmator :
- Non Linear Convex Problem, to solve this problem.
- solve problem in iteraritvely optmizing by object function(cost function).
- to update parameter to do iteration, we need to have some speicifc weight to update parameter by object function.
- to avoid local minimum problem, there is many kind of ways to optimization is we called M-Estimator.
- https://en.wikipedia.org/wiki/M-estimator
M-Esitmator :
- Non Linear Convex Problem, to solve this problem.
- solve problem in iteraritvely optmizing by object function(cost function).
- to update parameter to do iteration, we need to have some speicifc weight to update parameter by object function.
- to avoid local minimum problem, there is many kind of ways to optimization is we called M-Estimator.
- https://en.wikipedia.org/wiki/M-estimator
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