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https://www.cnblogs.com/bayesianML/p/6377588.html#belief_propagation
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I'm getting an error when performing BeliefPropagation on a BayesianModel. The issue does not occur if I use VariableElimination instead.
Something even odder is that the BeliefPropagation DOES work…
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In your paper, there are two schemes:
+ mean field
+ loopy belief propagation
in example of `graph_classification`, there is only implementation of `mean field`.
loopy belief propagation con…
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exact inference is fundamental. it also still has practical utility.
other keywords: belief propagation, sum product, elimination algorithm
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It seems in running forward backward algorithm there are errors:
`AttributeError Traceback (most recent call last)
in ()
2 model = HiddenMarkovModel_FB(trans, …
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It looks like inference is not working for non-tree structures.
For example consider the following simple factor graph with nodes x1, x2, x3 and factors fa, fb, fc.
```python
from fglib import grap…
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The current method of storing all nonzero outcomes simply won't scale. We'll need to implement a distribution based on Bayesian networks, queries via belief propagation.
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An implementation of the sum-product algorithm ([belief propagation](https://en.wikipedia.org/wiki/Belief_propagation)?) for inference in straight-line generative code with only enumerable stochastic …
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- [ ] Graph Construction: taking k-dimension unstructured data, use similarity metric (such as dot product) to generate weighted/unweighted graphs.
- [ ] Local Structure: K-hop neighbor primitive k in…
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# Interesting papers
- [InstantSplat](https://github.com/NVlabs/InstantSplat) 코드 릴리즈
- DUSt3R 기반 초기 포즈 검출
- BARF와 비슷한 pose-refinement
- 6장 -> 5분간 DUSt3R + 렌더링. RTX 2080 Ti.
https://g…