Questions tagged [hidden-markov-model]
For questions related to the hidden Markov model and related algorithms such as the forward algorithm.
18 questions
0
votes
0
answers
31
views
Particle filtering versus variational inference in dynamic bayesian networks
I am looking at a paper that references dynamic bayesian networks--the simplest case being a hidden markov model. The author uses a particle filter to model the posterior distribution for the current ...
- 207
1
vote
1
answer
36
views
Do State Variables in RL Models Need Direct Update Equations?
I'm working on a simulation model using RL to optimize an objective function. I'm trying to understand if I need to select my state variables such that I can write state update equations for each one ...
- 139
0
votes
0
answers
22
views
Using a HMM for grammar checking
I want to try to make an HMM from scratch for POS tagging, which I would extend to grammar checking. I understand there's much better ways for a grammar checker but this is just as a learning ...
- 1
0
votes
1
answer
164
views
What is the role of self loop in Hidden Markov Models(HMM)?
What actually does the self-loop (within the single hidden state ) in the Hidden Markov model helpful for?
I learn that one of the use cases concerning Natural language Understanding is that it helps ...
1
vote
0
answers
37
views
What is meant by decoding in a Hidden Markov Model?
HMM contains two types of states: observable and hidden. Let $\{ h_1,h_2,h_3,\cdots,h_n\}$ be hidden states and $\{o_1,o_2,o_3,\cdots, o_m\}$ be the observable states.
Suppose the $n^2$ transition ...
- 3,990
1
vote
0
answers
24
views
Looking for help on initializing continuous HMM model for word level ASR
I have been studying HMM implementation approaches on ASR for the last couple of weeks. This probabilistic model is very new to me. I am currently using a Python package called Pomegranate to ...
- 11
2
votes
1
answer
71
views
Is there an equivalent model to the Hidden Markov Model for continuous hidden variables?
I understand that Hidden Markov Models are used to learn about hidden variables $z_i$ with the help of observable variables $\xi_i$. On Wikipedia, I read that while the $\xi_i$'s can be continuous (...
- 1,171
2
votes
0
answers
18
views
How do multiple coordinate systems help in capturing invariant features?
I've been reading this paper that formulates invariant task-parametrized HSMMs. The task parameters are represented in $F$ coordinate systems defined by $\{A_j,b_j\}_{j=1}^F$, where $A_j$ denotes the ...
- 1,171
1
vote
1
answer
104
views
How to deal with very, very small time-series?
I have an ensemble of 231 time series, the largest among them being 14 lines long. The task at hand is to try to predict these time-series. But I'm finding this difficult due to the very small size of ...
- 13
1
vote
0
answers
199
views
What is a Hidden Markov Model - Artificial Neural Network (HMM-ANN)?
As far as I know, neural networks have hidden computational units and HMM has hidden states.
Hidden Markov Models can be used to generate a language, that is, list elements from a family of strings. ...
- 1,283
3
votes
1
answer
180
views
How can I use a Hidden Markov Model to recognize images?
How could I use a 16x16 image as an input in a HMM? And at the same time how would I train it? Can I use backpropagation?
- 212
2
votes
0
answers
55
views
Expected duration in a state
I am going through Rabiner 1989 and he writes that the discrete probability density function of duration $d$ in state $i$ (that is, staying in a state for duration $d$, conditioned on starting in that ...
- 21
0
votes
1
answer
59
views
is a "word prediction" problem, applicable using HMMs? [closed]
I'm learning HMMs and decided to model a problem for learning purposes. I came to this idea of word predicting by letters.
here is the model :
while typing, the word is typed letter by letter, so we ...
3
votes
0
answers
366
views
What are the differences between CRF and HMM?
What I know about CRF is that they are discriminative models, while HMM are generative models, but, in the inference method, both use the same algorithm, that is, the Viterbi algorithm, and forward ...
- 161
1
vote
0
answers
37
views
Predicting Hot Categories In a Reference Manager
Reference managers like Zotero or Mendeley allow researchers to categorize papers into hierarchical categories called collections. The User navigates through a listing of these collections when filing ...
- 111
1
vote
1
answer
184
views
Can HMM, MRF, or CRF be used to classify the state of a single observation, not the entire observation sequence?
I learn that the Viterbi algorithm used for Hidden Markov Model (HMM) can classify a sequence of hidden states from the corresponding observations; Markov Random Field (MRF) and Conditional Random ...
- 298
3
votes
1
answer
79
views
Is the Markov property assumed in the forward algorithm?
I'm majoring in pure linguistics (not computational), and I don't have any basic knowledge regarding computational science or mathematics. But I happen to take the "Automatic Speech Recognition&...
5
votes
2
answers
561
views
Can hidden Markov models be used to model any time series data?
Can HMMs be used to model any time series data? Or does the data have to be that of a Markov process?
In HTK documentation, I see that the first few lines state that it can model any time series
...
- 53