Search found 20 matches

by Yun
Wed Jan 04, 2017 5:30 pm
Forum: SMILE
Topic: Learned HMM parameters(by EM) different from BNT toolbox
Replies: 3
Views: 5386

Re: Learned HMM parameters(by EM) different from BNT toolbox

Dear Mark, Thank you so much for your quick reply! Following your advice, I did smaller steps to debug, and finally found out that I made an error: I shouldn't prepare all HMMs data in one single file, but should prepare one data file for one HMM instead. By doing in my previous way, different HMMs ...
by Yun
Tue Jan 03, 2017 2:43 pm
Forum: SMILE
Topic: Learned HMM parameters(by EM) different from BNT toolbox
Replies: 3
Views: 5386

Learned HMM parameters(by EM) different from BNT toolbox

Hi, dear SMILE creators, I tried to learn parameters of Hidden Markov Models using jsmile's EM class, and end up having quite different parameters from those from BNT(Bayes Net Toolbox for Matlab), given that I set the initial values of the parameters the same in both toolboxes. The possible reasons...
by Yun
Fri Oct 28, 2016 7:26 pm
Forum: SMILE
Topic: Create the DBN structure by JSMILE methods
Replies: 2
Views: 6032

Re: Create the DBN structure by JSMILE methods

Thank you so much!!! Now I can use JSMILE methods to create a network same as the the one from the tutorial :) In case it is useful to others, I am posting the code after fixing the problem: Network net = new Network(); String[] nodes = { "A", "B", "C" }; int nbSlices =...
by Yun
Wed Oct 19, 2016 2:25 am
Forum: SMILE
Topic: Create the DBN structure by JSMILE methods
Replies: 2
Views: 6032

Create the DBN structure by JSMILE methods

Hi, SMILE creators, Thank you so much for your time! I tried to create a DBN structure file using JSMILE's methods rather than "manual" coding (after successfully running em.learn of the DBN with the given structure file from the tutorial). I tried to create it in a "roll" way in...
by Yun
Tue Oct 18, 2016 7:32 pm
Forum: SMILE
Topic: Output posterior probabilities for latent variables (and missing values) after EM converges on training set
Replies: 2
Views: 5998

Output posterior probabilities for latent variables (and missing values) after EM converges on training set

Hi, SMILE creators, I am currently using JSMILE's em.learn to learn the parameters of a DBM with latent variables and missing values for observables. I want to check the posterior probabilities of the latent variables and observables' missing values for each sample (e.g., I have 20 samples correspon...