Maximum Likelihood Parameters (Maximum Likelihood Parameters)
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Description
In these algorithms, the goal is to estimate hyperparameters using maximum likelihood.
Parameters
No parameters found.
Table of Algorithms
Name | Year | Time | Space | Approximation Factor | Model | Reference |
---|---|---|---|---|---|---|
Expectation–maximization (EM) algorithm | 1977 | $O(n^{3})$ | $O(n+r)$? | Exact | Deterministic | Time |
Newton–Raphson algorithm | 1685 | $O(n^{3})$ | $O(n+r^{2})$? | Exact | Deterministic | |
Parameter-expanded expectation maximization (PX-EM) algorithm | 1998 | $O(n^{3})$ | $O(n+r)$? | Exact | Deterministic | Time |
Expectation conditional maximization (ECM) | 2017 | $O(n^{2} logn)$ | $O(n+r)$? | Exact | Deterministic | Time |
Generalized expectation maximization (GEM) algorithm | 1994 | $O(n^{4} log^{0.{1}.5}n)$ | $O(n+r)$? | Exact | Deterministic | Time |
α-EM algorithm | 2003 | $O(n^{3})$ | $O(n+r)$? | Exact | Deterministic | Time |
Time Complexity Graph
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Space Complexity Graph
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Pareto Frontier Improvements Graph
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