I am trying to choose an suitable model for an online machine learning technique. I was wondering if anybody could recommend any good papers.
Many thanks in advance.
Top 5: Things to know about machine learning
There are several different types of machine learning, and it pays to know a little about each. Here's a quick guide.
Five types of machine learning:
1. Supervised learning
2. Semi-supervised learning
3. Reinforcement learning
4. Active learning
5. Unsupervised learning
At the end of this article, you may find many good resources on ML.
https://www.techrepublic.com/article/top-5-things-to-know-about-machine-learning/?ftag=TRE684d531&bhid=26515897512689358169344413145444
There are many good papers but your best bet is probably a book try the Sutton and Barto for reinforcement learning.
Although a quick google search lead to this PhD dissertation: http://ttic.uchicago.edu/~shai/papers/ShalevThesis07.pdf
good luck
Maybe You can find this useful - online GMMs. There are also Matlab toolboxes for this purposes, but i have no links to them now
https://iis.uibk.ac.at/public/papers/Declercq-2008-VISAPP.pdf
Google Andrew NG
I follow the comment of Dr. Ljubomir Jacić
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