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Could you please let me know whether the eq. 4 in the paper is applicable for multi label segmentation or just the binary segmentation?
_Originally posted by @redsadaf in https://github.com/ykwon04…
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Dear all,
I'm trying to work with toy ODE that is predator prey.
```
using DifferentialEquations, Plots, ParameterizedFunctions, Random, Distributions, Turing, StatsPlots
predator_prey = @ode…
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Hi, I am new to hyper-parameter tuning,
as I know, SMAC use bayesian optimization to tuning hyper-parameter of algorithm likes SVM,
but if I have several algorithms (e.g., SVM, RandomForest, Neural …
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The [`Optim.jl`](https://github.com/JuliaNLSolvers/Optim.jl) package provides an implementation of BFGS, perhaps we can integrate it with Turing?
yebai updated
5 years ago
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**Submitting author:** @jdrugo (Jan Drugowitsch)
**Repository:** https://github.com/DrugowitschLab/VBLinLogit
**Version:** v0.2
**Editor:** @usethedata
**Reviewers:** @ManuelaS
**Author instructions…
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Hi,
In your code, you use MC dropout when inference a new input's outputs. But recently I read another paper Bayesian Convolutional Neural Networks with Variational Inference, the author uses loc…
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DBNs can be seen as a generalization of HMMs that allow multiple states variables, i.e. a factored state. One can transform any DBN into a HMM with linked weights, thus it would be relatively easy to …
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https://www.overleaf.com/4613729765tqmsjgdpxrgg
Here is a \LaTeX project I started on Overleaf, which will need an Overleaf account, where we can keep all our notes on the mathematics and other _w…
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to follow up the idea that I raised with you a while back on designing a graduate course. Please pour in your ideas and whether you want to be part of it.
This is a very rough draft:
# Biomedica…
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