What models, algorithms, and techniques are leading machine learning researchers working on?
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The title was edited from: "What problems are the leading machine learning researchers trying to solve?" The title was edited from: "What is the state of the art in machine learning?"
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Answer:
So the question seems to be: "what models, algorithms, and techniques are leading machine researchers working on?" I couldn't summarize all of them if I tried, but I recommend getting started by looking at the tutorials and workshops from recent conference meetings of Neural Information Processing Systems (NIPS), and the International Conference on Machine Learning (ICML). For example: http://nips.cc/Conferences/2008/Program/schedule.php?Session=Workshops http://nips.cc/Conferences/2009/Program/schedule.php?Session=Workshops http://icml2008.cs.helsinki.fi/tutorials.shtml You can click through the titles there to get all the information you could desire.
Danny Tarlow at Quora Visit the source
Other answers
Some of the most exciting algorithms developed in the last decade include SVM, Boosting, Bayesian Inferences (in large graphical model)
Tao Xu
This is not my field of expertise, but I am impressed with the work in expectation propagation. MS Research lab in England has some interesting work. Their http://infer.NET project is interesting, although it comes entangled with the .NET platform, so it is not useful outside a Windows environment.
Edward Fine
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