| bio | website | rmdroider.wordpress.com |
|---|---|---|
| location | ||
| age | ||
| visits | member for | 1 year, 9 months |
| seen | Mar 20 at 11:05 | |
| stats | profile views | 15 |
|
Dec 3 |
accepted | Large performance variance when using back-propagation in neural networks for feature extraction |
|
Aug 23 |
awarded | Yearling |
|
Jul 15 |
accepted | Standard deviation of error from leave one out |
|
Jul 15 |
accepted | Multilayer neural networks for multivariate temporal data |
|
Jul 15 |
accepted | Are Fisher Linear Discriminant and Logistic Regression Classifier related? |
|
Jul 15 |
accepted | Naive-Bayes classifier for unequal groups |
|
Jul 13 |
comment |
Within-class covariance matrix just a note - that's the total within-class covariance matrix. |
|
Feb 22 |
awarded | Teacher |
|
Feb 22 |
awarded | Scholar |
|
Feb 22 |
awarded | Commentator |
|
Feb 20 |
accepted | Is whitening always good? |
|
Feb 20 |
asked | Large performance variance when using back-propagation in neural networks for feature extraction |
|
Feb 18 |
answered | Domain-agnostic feature engineering that retains semantic meaning? |
|
Feb 17 |
comment |
Is whitening always good? Thanks for the clarification, you are right. I was referring to de-correlating. btw: at the end you write that whitening is only performed to the training data. as far as I know, you compute the matrix from the training data, but you perform it on both training & test data. |
|
Feb 16 |
comment |
Multilayer neural networks for multivariate temporal data My question was specific for multivariate temporal data, not a single channel temporal data (like those papers). thanks. |
|
Feb 15 |
comment |
Multilayer neural networks for multivariate temporal data I actually know this paper. They are converting their 1D temporal signal to a 2D frequency X time matrix with a spectrogram and the used 1D "filters" for the connections to the hidden units. It doesn't seem like they are looking at the frequency-time structure. Am I wrong? |
|
Feb 15 |
comment |
Is whitening always good? as I understand it, it works well if the covariance matrix is well-estimated. Can someone comment on this? thanks. |
|
Feb 15 |
asked | Is whitening always good? |
|
Feb 15 |
asked | Multilayer neural networks for multivariate temporal data |
|
Feb 15 |
comment |
Classification of observation symbols in a HMM? have you tried looking at iohmm (input-output hmm) ? might be more suitable for this case. |