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Hello,
I was wondering what was the method behind the sub-sampling parameterized with [Number of samples (-n)](https://storm-irit.github.io/OpenGR/a00012.html).
I have a 3D scan with 50k points an…
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Potential readings to focus understanding on probability, mathematical statistics, algorithms, etc more deeply. Talk of applications will be secondary.
- [Statistical modeling: the two cultures](ht…
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Many current tracing solutions provide a rate limiting sampler with a leaky bucket (reservoir). Such a sampler allows serving requests up to a fixed number per second (reservoir) and if that is passed…
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As discussed with @siddharthteotia, consider adding some common statistical analysis methods SQL language.
Few examples:
1. Pearson's coefficient
2. Sampling (bernoulli/stratified)
5. Histogram…
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I started looking at the state of random in Gleam and I have several ideas.
1. `int.random` and `float.random` do not have seeds. It might be a problem for libraries. For example: if you want a fake-…
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At @torfjelde's suggestion, I am testing the AbstractPPL interface to see what it is missing. Here the test case is [simulation-based calibration](https://arxiv.org/abs/1804.06788v2). From the interfa…
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Do we want Super-Sampled Anti-Aliasing, Multi-Sampled Anti-Aliasing, or Coverage Sample Anti-Aliasing. There's also Adaptive Anti-Aliasing .. I think the most popular one is the 2nd one listed.
Some …
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Analyze performance of the grammar-based sampling strategy
Time to sample is stored in the log of the individual runs in an additional line:
“ConfigurationSampling done in $0 ms”
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Hey there, I was wondering if you have any plans to add anti-aliasing to this course? Would be pretty cool to have and it's not much more complex than a lot of other topics treated in here.
Thanks.
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The notebook seems to use a pre-trained model from https://github.com/awslabs/amazon-sagemaker-examples/blob/master/introduction_to_applying_machine_learning/xgboost_customer_churn/xgboost_customer_ch…