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想要通过geatpy实现estimation of distribution algorithm(EDA)
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Hi James,
When I went through the scripts of fitting the gamma distribution, I was confused by the way you used to estimate the shape parameters.
`means = np.nanmean(calibration_values, axis=0)`
…
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- [x] Random Search
- [x] Greedy Search/Hill Climb
- [x] Simulated annealing (SA)
- [x] Basic Evolution Strategies (ES)
- [x] Genetic Algorithm (GA)
- [x] Particle Swarm Optimization (PSO)
- [x…
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- [x] Grover's Search
- [ ] Quantum Teleportation
- [ ] Bernstein- Vazirani
- [x] Shor's Algorithm
- [ ] Deutsch-Jozsa Algorithm
- [ ] QPE(Quantum Phase Estimation)
- [ ] VQE(Variational Quantum…
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Some easy to add tools could be density estimation models that learn the distribution of the data without any labels.
Also, one class classification models, novelty or anomaly detection algorithms.
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# Description
The "length" of a quantum circuit is the primary factor when determining the magnitude of the errors in the resulting output distribution; quantum circuits with greater depth have decre…
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Using R 4.0.05 and assemblerr e452c176. When building a 1 compartment oral model and then using `tsk_estimation(algorithm) = "fo" ` , the model renders ok, but the ETAs are not 0 FIX:
```
prazmod
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The new feature should introduce a function to calculate the expected value $E$ and the actual value of the minimization function $J(x)$. If $J(x)$ lies within the 3-sigma band, the result of the stat…
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The following pages of mine deal with random variate generation, Bernoulli factories, and exact sampling. They contain numerous algorithms for such sampling.
My audience for these articles is **…