User Eskapp

5 votes

What is the difference between a Hidden Markov Model and a Mixture Markov Model?

answered Aug 28, 2017 at 18:32

5 votes

Why do we interpret neural networks as graphical models?

answered Jul 20, 2018 at 14:33

3 votes

What's a multivariate Hidden Markov Model?

answered Nov 10, 2016 at 22:16

3 votes

Accepted

difference between IEEE International Conference on Big Data and IEEE ICDM (international conference on data mining)

answered Dec 16, 2016 at 15:37

2 votes

What is the role of feature engineering in statistical inference?

answered Nov 15, 2016 at 19:40

2 votes

Are there any examples of hidden Markov models that are not mixture models?

answered Feb 20, 2017 at 22:31

2 votes

Viterbi and forward-backward algorithm in HMM

answered Apr 8, 2019 at 19:43

2 votes

Accepted

How to "index data at learning time" for nearest neighbor classification?

answered Nov 7, 2016 at 18:25

1 vote

HMM for multichannel - multivariate data

answered Sep 13, 2017 at 14:13

1 vote

Accepted

HMM with unknown number of hidden states

answered Sep 21, 2017 at 18:19

1 vote

Accepted

What is the meaning of a P100 score in image recognition / categorization?

answered Sep 23, 2017 at 17:10

1 vote

Overlapping Gaussian output distributions for HMM states

answered Oct 4, 2017 at 23:21

1 vote

How to use Kullback-leibler divergence if mean and standard deviation of of two Gaussian Distribution is provided?

answered May 25, 2017 at 19:59

1 vote

Feature Selection for Machine Learning problem

answered Aug 2, 2017 at 21:40

1 vote

Accepted

Numpy.corrcoef() for twice one object does not return matrix of 1's

answered Nov 22, 2016 at 14:57

1 vote

Accepted

How to Train HMM model with two different sequences using the Baum-Wech algorithm

answered Dec 19, 2016 at 22:00

1 vote

Accepted

Modelling the shape of a distribution / proportions based on a predictor

answered Jan 5, 2017 at 17:28

0 votes

Accepted

Mixture Model Distribution and Single Model Distribution Comparisons

answered Jan 10, 2017 at 15:39

0 votes

Mean of Sum vs Sum of Means with Maximum Likelihood estimation

answered Dec 13, 2016 at 22:19

0 votes

Accepted

HMM & the unfair die problem?

answered Aug 3, 2017 at 16:41

0 votes

Apply HMM on a stock dataset or any other real dataset

answered Aug 28, 2017 at 18:48

0 votes

Accepted

Correct ML Terminology: Instance, Label, Example

answered Aug 2, 2017 at 21:18

0 votes

Accepted

Multiple forecasts to add up to 100%

answered May 25, 2017 at 18:50

0 votes

Computing Classification Error between HMMs

answered Sep 23, 2017 at 16:30

Stack Exchange Network

24 Answers

What is the difference between a Hidden Markov Model and a Mixture Markov Model?

Why do we interpret neural networks as graphical models?

What's a multivariate Hidden Markov Model?

difference between IEEE International Conference on Big Data and IEEE ICDM (international conference on data mining)

What is the role of feature engineering in statistical inference?

Are there any examples of hidden Markov models that are not mixture models?

Viterbi and forward-backward algorithm in HMM

How to "index data at learning time" for nearest neighbor classification?

HMM for multichannel - multivariate data

HMM with unknown number of hidden states

What is the meaning of a P100 score in image recognition / categorization?

Overlapping Gaussian output distributions for HMM states

How to use Kullback-leibler divergence if mean and standard deviation of of two Gaussian Distribution is provided?

Feature Selection for Machine Learning problem

Numpy.corrcoef() for twice one object does not return matrix of 1's

How to Train HMM model with two different sequences using the Baum-Wech algorithm

Modelling the shape of a distribution / proportions based on a predictor

Mixture Model Distribution and Single Model Distribution Comparisons

Mean of Sum vs Sum of Means with Maximum Likelihood estimation

HMM & the unfair die problem?

Apply HMM on a stock dataset or any other real dataset

Correct ML Terminology: Instance, Label, Example

Multiple forecasts to add up to 100%

Computing Classification Error between HMMs