What other approach is similar and can address the same kind of problems as HMM? I think that HMM represents my problem very accurately, but the output is too jumpy to be acceptable, so I am looking into some similar techniques to give them a shot. Thank you very much

P.S. Here is where I describe my problem http://metaoptimize.com/qa/questions/9396/what-kind-of-model

asked Mar 16 '12 at 16:17

Viktor%20Simjanoski's gravatar image

Viktor Simjanoski
193212529

1

It is hard to name alternatives without knowing what your problem actually is.

(Mar 16 '12 at 17:44) Alexandre Passos ♦

Is your problem an instance of changepoint detection / anomaly detection? See for example http://www.cs.toronto.edu/~rpa/papers/rpa-changepoint.pdf for a description of what the problem is.

(Mar 21 '12 at 07:49) Alexandre Passos ♦

One Answer:

CRFs are sort of a generalization of HMMs. You can add more interesting features and do global rather than local normalization.CRFs

answered Mar 21 '12 at 02:58

Travis%20Wolfe's gravatar image

Travis Wolfe
235119

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