As far as I am aware, there has been very little work on combining
these two, but that does not mean that it is a bad idea. I can give
you some pointers from a very personal perspective:
-Machine learning is mostly kernel methods and probabilistic
inference, I can't really say much about how one
I have spent several months studying use of generative grammars in
multi-agent reactive systems [1] - granted, not FRP in particular, but RDP
is reasonably close [2]. This result is, implicitly, a distributed,
federated machine-learning system (briefly described at [3]). The 'learning'
supports
Hi all,
I am doing a survey on combining Functional Reactive Programming and
Machine Learning. Has anyone did relevant research on this topic?
Any discussion or link is appreciable.
Best,bob
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I did a survey of functional reactive programming, though there's no
reference to machine learning:
http://blog.edwardamsden.com/2011/05/survey-of-functional-reactive.html
On Fri, Jul 22, 2011 at 2:30 PM, bob zhang bobzhang1...@gmail.com wrote:
Hi all,
I am doing a survey on combining
Thank your for kind help :-)
于 11-7-22 下午3:28, Edward Amsden 写道:
I did a survey of functional reactive programming, though there's no
reference to machine learning:
http://blog.edwardamsden.com/2011/05/survey-of-functional-reactive.html
On Fri, Jul 22, 2011 at 2:30 PM, bob
