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Hi
I am a research assistant and I have been working on deep bayesian active learning for the past few weeks. I have been using pytorch and custom active learning classes so far, and i just found o…
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# Uncertainty Quantification of ML models: From Introduction to Advanced
# Responsible person(s)
Sebastian Starke, , HZDR,
Steve Schmerler, HZDR, @elcorto
Peter Steinbach, HZDR, @psteinb
G…
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**Submitting author:** @leadang42 (Lea Dang)
**Repository:** https://github.com/ankilab/EvoVis.git
**Branch with paper.md** (empty if default branch):
**Version:** v1.0.0
**Editor:** Pending
**Review…
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I've been working a bit on Bayesian Neural Networks in PyMC3 (here is the blog post: http://twiecki.github.io/blog/2016/06/01/bayesian-deep-learning/). I wonder if it would be possible to use Lasagne …
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https://jakevdp.github.io/PythonDataScienceHandbook/04.08-multiple-subplots.html
**Linear Regression Derivation**
https://towardsdatascience.com/linear-regression-derivation-d362ea3884c2
**ASS*…
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Consider the following resources for machine learning, probability, and classic AI
## tagged machine learning
[Wheel/Rail Adhesion State Identification of Heavy-Haul Locomotive Based on Particle…
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1. [Binary Relevance Efficacy for Multilabel Classification](https://link.springer.com/article/10.1007/s13748-012-0030-x) > https://github.com/Gin04gh/datascience/issues/6#issuecomment-419388287
1. […
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Lately, a lot of active learning methods have been developed for deep neural networks. Some of these state of the art methods are considered as a standard benchmark when comparing various active learn…
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www.hunch.net
http://fastml.com/bayesian-machine-learning/
http://jakevdp.github.io/blog/2014/03/11/frequentism-and-bayesianism-a-practical-intro/
https://www.reddit.com/r/MachineLearning/comme…
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https://doi.org/10.1101/104869
> Advancements in sequencing technologies have highlighted the role of alternative splicing (AS) in increasing transcriptome complexity. This role of AS, combined wit…