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How to take first derivative and plot

You can use zscore to normalize, then diff to compute the differences, and then plot original and differences on the same plot (...

How to take first derivative and plot

You can use zscore to normalize, then diff to compute the differences, and then plot original and differences on the same plot (...

casi 5 años hace | 0

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How can i do k-fold cross validation with Matlab built-in k-mean?

Cross-validation is indeed typically used in the context of classification, since it's a method to measure accuracy on "unseen" ...

How can i do k-fold cross validation with Matlab built-in k-mean?

Cross-validation is indeed typically used in the context of classification, since it's a method to measure accuracy on "unseen" ...

casi 5 años hace | 0

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How do I implement classification tree in Simulink?

Your question is pretty general, but here you can find guidance how to simulate neural networks in Simulink, or insert a neural ...

How do I implement classification tree in Simulink?

Your question is pretty general, but here you can find guidance how to simulate neural networks in Simulink, or insert a neural ...

casi 5 años hace | 0

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how can I identify the features of my data x that mostly contribute to the classification of linear discriminant analysis?

The coefficient magnitude is a measure of predictor importance. After the training with normalized data (zero mean and unit vari...

how can I identify the features of my data x that mostly contribute to the classification of linear discriminant analysis?

The coefficient magnitude is a measure of predictor importance. After the training with normalized data (zero mean and unit vari...

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HOw to fix an Error in deep network configuration with images data sets

Currently, (deep) networks with multiple inputs are not supported in our framework, but we are working on that enhancement. A...

HOw to fix an Error in deep network configuration with images data sets

Currently, (deep) networks with multiple inputs are not supported in our framework, but we are working on that enhancement. A...

casi 5 años hace | 0

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glmfit optimization algorithm?

glmfit uses Fisher's scoring method, performing Maximum likelihood estimates with an iteratively reweighted least-squares algori...

glmfit optimization algorithm?

glmfit uses Fisher's scoring method, performing Maximum likelihood estimates with an iteratively reweighted least-squares algori...

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how to use multiple input layers in DAG net as shown in the figure

Modeling DAG graphs with multiple inputs and/or outputs is currently not supported in our deep learning framework, but we are wo...

how to use multiple input layers in DAG net as shown in the figure

Modeling DAG graphs with multiple inputs and/or outputs is currently not supported in our deep learning framework, but we are wo...

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How to find average score of different combination

Your combinations don't define a proper partition of the data sets. The grpstats command does allow you to group data from a ...

How to find average score of different combination

Your combinations don't define a proper partition of the data sets. The grpstats command does allow you to group data from a ...

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How to fit a model a=bx+cy form, for series of data?

If you interpret a=bx+cy as a linear equation with the scalars x,y as unknown (even though you said they are known), it's an ove...

How to fit a model a=bx+cy form, for series of data?

If you interpret a=bx+cy as a linear equation with the scalars x,y as unknown (even though you said they are known), it's an ove...

casi 5 años hace | 0