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Questions tagged [hidden-markov-models]

Hidden Markov Models are a model for understanding and predicting sequential data in statistics and machine learning, commonly used in natural language processing and bioinformatics.

Hidden Markov Models (HMM) are a model for understanding and predicting sequential data in statistics and machine learning, commonly used in natural language processing and bioinformatics. In HMM, the hidden state variable cannot be observed, but usually some output variable that dependent on the hidden state is visible.

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HMM text recognition in R depmixs4

I'm wondering how I would utilize the depmixs4 package for R to run HMM on a dataset. What functions would I use so I get a classification of a testing data set? I have a file of training data, a file of label data, and a test data. Training data…
linnal86
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Baum Welch implementation

I've been working through a problem from my machine learning class that I can not seem to figure out. The gist of the algorithm if I'm understanding it correctly is: Expectation: • For each sentence s in S: ○ For each word/tag pair (w,t): …
dmcqu314
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EEG data classification using Hidden Markov Model

I have EEG data (alpha, theta and delta) divided into N windows of length 1 second, collected while the subject was in sleep and awaken state. Since I am novice to HMM, I have no clear idea as to how to train the HMM and get my data classified into…
user3141862
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Create 2D array from file for HMM package R

I am working with R HMM package. I have a file with symbols on each line. I need to create 2D vector from this file, where i-th vector contains symbols from i-th line I wrote code likes: q4 = readLines("someFile") c1 <- strsplit(q4[1],"")[[1]] c2 <-…
Marek Čačko
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Individualized Bayesian Knowledge Tracing Models.Hidden markov model

I'm currently looking at this paper about bayesian knwoledge tracing.Though i can understand HMM's and their computations,i Have trouble relating it to the inference formulas for this paper. Individualized Bayesian Knowledge Tracing Models Michael…
vamsi3435149
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How to perform smoothing with Matlab Hidden Markov Model? (Statistics Toolbox)

I am using matlab's hmmtrain() to produce the final state transitions and emission probabilities matrices. For the training I use the Baum-Welch algorithm, giving as input the sequences dataset, and initial guesses for A and B matrix. Nevertheless,…
user2008973
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Hidden Markov Model Notation

I have some background in machine learning and I also just completed a face-identification excersize using support vector machine. I am in the process of trying to convert this exercise to HMM, but I am having problems understanding the notation…
user2762182
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What is the purpose of speaker adaptive training and speaker dependent training?

I'm trying to create a TTS engine for Indian Accented English (not any Indian language). I already have a voice recordings database for Indian accented English. So what are the next steps ? I think we need to label them with the ".lab" extension…
Aditya Vikas Devarapalli
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Error: SemiMarkov model for illness-death model

I am trying to fit a multistate model using the 'semimarkov' package in r. Below are extract of my code the result and the error I could. id state.h state.j time1 LOC sex 102 1 2 4.000000 0 0 102 2 …
mymymine
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How to raise accuracy in HMM sketch recognition using jahmm, large negative number of ForwardBackwardScaledCalculator.InProbability()

I've trained a hmm model for sketch "D" using jahmm, the model is initilized via K-means as suggested by jahmm website, then I use Baum-Welch algorithm. After trained, I test a sequence of observation, and get the probability by…
user3263529
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Variable time steps in observations fed into hidden markov model

I'm guessing this is not possible, at least with the standard HMM implementation of scikit-learn, but I wanted to ask this question to see if there are any other approaches to this issue. The problem is basically that I want to use a hidden markov…
houbysoft
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startProbability in hidden markov models

How can I calculate the startProbabilitise in hidden markov model for POS tagging? is that means: (# repeats of one tag)/(# repeats of all tags)? or (number of sentences beginning with one tag)/(all sentences)? if not, what?
Hamed
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sequence prediction using HMM Matlab

I'm currently learning the murphyk's toolbox for Hidden Markov's Model, However I'v a problem of determining my model's coefficients and also the algorithm for the sequence prediction by log likelihood. My Scenario: I have the flying bird's…
user3396151
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Jahmm's KmeansLearner

I'm new with the Jahmm package, also I'm new with Java. I'm having an error in KMeansLearner that says Incompatible Types List cannot be converted to List What does this mean? I…
Bernardo Ortiz
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Viterbi Algorithm Sequence finding

I am trying to understand Viterbi Algorithm. The states are; S1, S2, S3, BEGIN, END The values are rounded and truncated. The smoothed State transition table is as follows; S1 S2 S3 B E S1 -0.7 -1.6 -1.6 -INF -2.0 S2 -2.0 …
yns
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