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bio website rmdroider.wordpress.com
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visits member for 1 year, 9 months
seen Mar 20 at 11:05
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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.