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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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How to use HMM in two-class classification?

I am using Azure Machine Learning to build a model which will predict if a project will be approved (1) or not (0). My dataset is composed of a list of projects. Each line represents a project and its details - starting day, theme, author, place,…
Lucas Mascia
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Hidden Markov model for a time series

I want to train a Hidden Markov model for a time series. I tried using Matlab but it is discrete in nature. Can anyone share some good libraries for building continuous HMM on time series. As I am new to HMM, it would be thankful if a code snippet…
shaifali Gupta
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htk in ubuntu “make all” error “Nothing to be done for `all'.” error

Hello folks actually i am trying to install htk on Ubuntu 14.04.3 . I did same as per this tutorial and I also followed this but I am still facing an error when I try to give the "make all" command. exepaul@ubuntu:~/voxforge/bin/htk$ make all (cd…
Aaditya Ura
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HMM emission model with discriminative machine learning tools

my task is to classify an observation vector (features taken from sensors signals) to one of M states. I can use multiclass classifiers (trees or SVM) but since these states are dependent i am looking for a model to use the dependency between the…
user3730223
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Is there anyway to find hidden markov model accuracy percent?

hello I have created a Hidden Markov Model like: https://medium.com/@natsunoyuki/hidden-markov-models-with-python-c026f778dfa7 but I cant for example understand if my system predict 1 or 0 or 2 how many of these answers are right and how many are…
Mehdi rostaee
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Is there a machine learning system that is easy to debug?

Normally machine learning systems perform well. However when there is a problem with the trained machine learning system (for example the machine learning system performs worse than random ...) this great "guessing game" begins. With "guessing…
quant
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Markov Models and Sentence Generator project (Python)!

I am in an intro to programming class and one of our final projects is to create a sentence generator. The requirements are that we have to take a sample input, strip it down to only lower case letters, use the Markov Model to determine the…
Tyler Linden
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Hidden Markov Models (HMM) in Python

I am working with Hidden Markov Models in Python. For that I came across a package/module named hmmpytk. The problem is hmmpytk isnt pre-installed and when I download the hmmpytk module, i only get codes without the installation file. I use windows…
user3294795
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Which Machine Learning technique is most valid in this scenario?

I am fairly new to Machine Learning and have recently been working on a new classification problem to which I'm giving the link below. Since cars interest me, I decided to go with a dataset that deals with the classification of cars based on several…
Karthik
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Neural network multiple choice exams

How likely is it to succeed in training neural network (e.g. simple feedforward/backprop multilayer perceptron) to solve multiple choice (text based) questions - and if low likelihood - what would be smarter ways to go (or don't go) about this…
user2305193
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