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### TL;DR
I encountered some errors while using the EKF filtering for performing BIP inference both from my code and from the [`minimal.py`](https://github.com/ir-lab/intprim/blob/master/intprim/exam…
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First of all, thanks for the wonderful book, and I am enjoying every line of your witty and clear writing.
In session `Exercise: The Effect of Acceleration`, there seems to be a mistake in the for…
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See https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python/issues/188, which refers to usage in the book as well as this library.
There are several functions in stats.py that compute thing…
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For this exercise the solution is given as:
```python
def gen_data(x0, dx, count, noise_factor, accel=0.):
zs = []
for i in range(count):
zs.append(x0 + accel * (i**2) / 2 + d…
axlan updated
2 years ago
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The ensemble Kalman filter was introduced in Evans (1994) and has become an important technique in high dimensional forecasting. The method has connections to approximate Bayesian computation (Nott et…
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Hi. I try to compile an app to predict bayesian model . I saved posterior chain, and model specification. My precomp_file is something like that.
**precomp_file.jl**
```julia
using Turing
us…
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I ran `infercnv::add_to_seurat` on multiple objects. Based on all the plots, there are clear CNVs. I did not provide a Seurat object, so `map_metadata_from_infercnv.txt` was generated. The table has t…
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I have a question regarding one of the parameters. What is the meaning of the parameter "rho" and where was it introduced? It is present in the code, for example, it is define in` tapas_hgf_binary_con…
a-yur updated
7 months ago
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Hi, I'm totally new to these kinds of networks.
Can anybody help me with hyperparameter tuning for a specific architecture(e.g. unet) ?
for example changing activation functions, num of filters …
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Has anyone thought of implementing aKalman-Filter-based multi-target tracking as part of `opencv_contrib`?
It could address the assignment problem using either Bayesian or deterministic approach (H…
InonS updated
6 years ago