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From: Puntis on 10 Sep 2009 06:35
I work on a word recognition system and I use Matlab HMM functions to train and test my system.For testing I use hmmdecode function and it gives me NAN value as loglikelihood for all the classes which doesn't make sense.I'm wondering if anyone could help me to solve this problem.

Thanks in advance,

Puntis
From: Rune Allnor on 10 Sep 2009 06:40
On 10 Sep, 12:35, "Puntis " <p_J_haghi...(a)yahoo.com> wrote:
> I work on a word recognition system and I use Matlab HMM functions to train and test my system.For testing I use hmmdecode function and it gives me NAN value as loglikelihood for all the classes which doesn't make sense.I'm wondering if anyone could help me to solve this problem.

What is the problem? That the function return NaN? Or that
the input data don't make sense? Or that the function returns
NaN for the input data that don't make sense?

Rune
From: Puntis on 10 Sep 2009 20:44
Rune Allnor <allnor(a)tele.ntnu.no> wrote in message <5ecffd50-4e51-4816-8a11-349ce38d9331(a)r39g2000yqm.googlegroups.com>...
> On 10 Sep, 12:35, "Puntis " <p_J_haghi...(a)yahoo.com> wrote:
> > I work on a word recognition system and I use Matlab HMM functions to train and test my system.For testing I use hmmdecode function and it gives me NAN value as loglikelihood for all the classes which doesn't make sense.I'm wondering if anyone could help me to solve this problem.
>
> What is the problem? That the function return NaN? Or that
> the input data don't make sense? Or that the function returns
> NaN for the input data that don't make sense?
>
> Rune


Hi Rune,

As you see, [PSTATES,logpseq] = hmmdecode(seq,TRANS,EMIS), hmmdecode returns logpseq, the logarithm of the probability of sequence seq, given transition matrix TRANS and emission matrix EMIS. So I gave the matrices and the testing seq to the function and as the logpseq it returns NAN value while it should return a value which should probably be a very small value.

Thanks,

Puntis
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