I am an Engineer with Engineering Development Group at Mathworks.

My area of interest includes Deep Learning and Machine Learning.

DISCLAIMER: Any advice or opinion here are my own and in no way reflect that of MathWorks.

Answered

How to create a matrix with all possibles cambinations between nodes of 3 sets?

You can use meshgrid function as below [x,y,z] = meshgrid(C,O,P); This gives you all combinations of C/O/P.

How to create a matrix with all possibles cambinations between nodes of 3 sets?

You can use meshgrid function as below [x,y,z] = meshgrid(C,O,P); This gives you all combinations of C/O/P.

1 month ago | 0

Answered

Clustering of 1d array data set

You can use dbscan on 1d array, as below X = rand(100,1); dbscan(X, 0.1, 5) However, it might not be the most appropriate one...

Clustering of 1d array data set

You can use dbscan on 1d array, as below X = rand(100,1); dbscan(X, 0.1, 5) However, it might not be the most appropriate one...

1 month ago | 0

Answered

Number of leaf nodes used by regression tree

The IsBranchNode Property of RegressionTree is false for leaf nodes. So you can use it as follows, X = rand(100, 4); y = rand(...

Number of leaf nodes used by regression tree

The IsBranchNode Property of RegressionTree is false for leaf nodes. So you can use it as follows, X = rand(100, 4); y = rand(...

1 month ago | 0

Answered

Calculating std and 95% confidence intervals in a 3d matrix along the 3rd dimension

std(std(M)) would give you std deviations of the std deviations, which I assume is not what you are expecting. If you want std d...

Calculating std and 95% confidence intervals in a 3d matrix along the 3rd dimension

std(std(M)) would give you std deviations of the std deviations, which I assume is not what you are expecting. If you want std d...

1 month ago | 0

Answered

Rank on symbolic matrices

Rank does not take identities satisfied by functions into account. As a workaround, substitute values into variables, and then c...

Rank on symbolic matrices

Rank does not take identities satisfied by functions into account. As a workaround, substitute values into variables, and then c...

1 month ago | 0

Answered

Classification Learner multi labels

Multi class classification can be considered as a regression problem, where the model predicts the probability of each of the cl...

Classification Learner multi labels

Multi class classification can be considered as a regression problem, where the model predicts the probability of each of the cl...

1 month ago | 0

Answered

Question regarding this link: https://www.mathworks.com/matlabcentral/answers/495218-what-is-the-error-histogram-in-neural-network-matlab

The histogram is created from the error in the output. error = targets - outputs; number_of_bins = 10; ploterrhist(error,'bi...

Question regarding this link: https://www.mathworks.com/matlabcentral/answers/495218-what-is-the-error-histogram-in-neural-network-matlab

The histogram is created from the error in the output. error = targets - outputs; number_of_bins = 10; ploterrhist(error,'bi...

1 month ago | 0

Answered

Why does the RL Toolbox not support BatchNormalization layer?

This is an known issue, and it might be fixed in any of the upcoming releases.

Why does the RL Toolbox not support BatchNormalization layer?

This is an known issue, and it might be fixed in any of the upcoming releases.

1 month ago | 0

| accepted

Answered

fitrgp with censored data

fitrgp currently does not support censored data. This might be implemented in any of the future releases. As a workaround, you ...

fitrgp with censored data

fitrgp currently does not support censored data. This might be implemented in any of the future releases. As a workaround, you ...

1 month ago | 0

Answered

Find random solutions of a system of inequalities

As the solutions are infinite, you can get solutions as a system of equations themselves. Then, you can either randomly put para...

Find random solutions of a system of inequalities

As the solutions are infinite, you can get solutions as a system of equations themselves. Then, you can either randomly put para...

1 month ago | 0

| accepted

Answered

Kernel function interpretation problem

As ksdensity returns the probability density, it can be higher than one. The integral of this function, which is the total proba...

Kernel function interpretation problem

As ksdensity returns the probability density, it can be higher than one. The integral of this function, which is the total proba...

1 month ago | 0

| accepted

Answered

My Neural Net Pattern recognition confusion matrix result is 96% but when I add new input the output of net show always same result. I didn't understand why .

If neural network has issues with specific classes/outputs, then you should check if that specific class has very few samples in...

My Neural Net Pattern recognition confusion matrix result is 96% but when I add new input the output of net show always same result. I didn't understand why .

If neural network has issues with specific classes/outputs, then you should check if that specific class has very few samples in...

1 month ago | 0

Answered

Huge Confidence Interval With predint

As per my understanding, you want to get a fit with lower confidence interval. For this, you need to do one or more of the foll...

Huge Confidence Interval With predint

As per my understanding, you want to get a fit with lower confidence interval. For this, you need to do one or more of the foll...

1 month ago | 0

Answered

Image regression: How to visualize the feature importance of an image in convolutional neural networks

the third parameter for occlusionSensitivity is label which was predicted for the model. For example, label = classify(net,X); ...

Image regression: How to visualize the feature importance of an image in convolutional neural networks

the third parameter for occlusionSensitivity is label which was predicted for the model. For example, label = classify(net,X); ...

1 month ago | 0

Answered

I can not open it

I assume that you are facing this issue after installation or upgrade. If so, you can reach out to customer support for help wit...

I can not open it

I assume that you are facing this issue after installation or upgrade. If so, you can reach out to customer support for help wit...

1 month ago | 0

Answered

Averaging points in a point cloud

From the code, it seems you are taking the median of points in each sphere in the grid. As these spheres won't cover all the spa...

Averaging points in a point cloud

From the code, it seems you are taking the median of points in each sphere in the grid. As these spheres won't cover all the spa...

1 month ago | 0

| accepted

Answered

Convert to occupancyMap3D

There is currently no direct function to convert stl to occupancy matrix/grid. As a workaround, if you create the stl file usin...

Convert to occupancyMap3D

There is currently no direct function to convert stl to occupancy matrix/grid. As a workaround, if you create the stl file usin...

1 month ago | 2

Answered

Regression of a four variable function

You can use the statistics and machine learning toolbox for regression. To get started, check the regression doc page. I recomme...

Regression of a four variable function

You can use the statistics and machine learning toolbox for regression. To get started, check the regression doc page. I recomme...

1 month ago | 0

Answered

normal distrbution , Monte Carlo , Random

Monte Carlo involves using random sampling, so depending on what you use the result for, it might be monte carlo. For random se...

normal distrbution , Monte Carlo , Random

Monte Carlo involves using random sampling, so depending on what you use the result for, it might be monte carlo. For random se...

1 month ago | 0

Answered

Detect turning points in 2D trajectory

Depending on what you define “sudden change” as, neural networks might be unnecessary, and you might be able to find the points ...

Detect turning points in 2D trajectory

Depending on what you define “sudden change” as, neural networks might be unnecessary, and you might be able to find the points ...

1 month ago | 0

| accepted

Answered

Why support vectors values are negative using regression learner app?

Support vectors are those data points that form the support vector, which are the two vectors (in higher dimension) which separa...

Why support vectors values are negative using regression learner app?

Support vectors are those data points that form the support vector, which are the two vectors (in higher dimension) which separa...

1 month ago | 0

| accepted

Answered

find probability of chi2 test

To elaborate on @Ive J's answer, You have . using chi2cdf, you can get . So in your case, , which you can get using chi2cdf as ...

find probability of chi2 test

To elaborate on @Ive J's answer, You have . using chi2cdf, you can get . So in your case, , which you can get using chi2cdf as ...

1 month ago | 0

Answered

chi2gof function combines bins even with EMin set to zero

I have brought this issue to the notice of concerned developers. It might be fixed in any of the upcoming releases.

chi2gof function combines bins even with EMin set to zero

I have brought this issue to the notice of concerned developers. It might be fixed in any of the upcoming releases.

1 month ago | 0

Answered

please help me modify my code so that i can fixt the below mentioned errors

There are two issues in the code. First, your normalization code creates a one column vector. You can replace the normalization...

please help me modify my code so that i can fixt the below mentioned errors

There are two issues in the code. First, your normalization code creates a one column vector. You can replace the normalization...

1 month ago | 0

Answered

fitrlinear for large data set

With high dimensional data, it is expected that some of the predictors won't have much effect on the response. As a workaround,...

fitrlinear for large data set

With high dimensional data, it is expected that some of the predictors won't have much effect on the response. As a workaround,...

1 month ago | 0

Answered

Error executing of the example code for training a custom Mask R-CNN using cocodataset 2014

I have brought the issue to the notice of the concerned developers. It might be fixed in any of the upcoming releases.

Error executing of the example code for training a custom Mask R-CNN using cocodataset 2014

I have brought the issue to the notice of the concerned developers. It might be fixed in any of the upcoming releases.

1 month ago | 0

Answered

chi2gof function does not work with Gaussian mixture model

You need to pass a function handle of the cdf function, for example, h = chi2gof(x,'cdf',{@normcdf,mean(x),std(x)}) For your e...

chi2gof function does not work with Gaussian mixture model

You need to pass a function handle of the cdf function, for example, h = chi2gof(x,'cdf',{@normcdf,mean(x),std(x)}) For your e...

3 months ago | 0

Answered

How to open a mat file in C?

The file is included with MATLAB installation. You might have to add it to the path where your compiler looks for header files.

How to open a mat file in C?

The file is included with MATLAB installation. You might have to add it to the path where your compiler looks for header files.

3 months ago | 0

Answered

Fit Curve a Graph with Shape like y^2 = x

generally, a function is expected to map only one y value for each x value. As you have two values for each input, you need to r...

Fit Curve a Graph with Shape like y^2 = x

generally, a function is expected to map only one y value for each x value. As you have two values for each input, you need to r...

3 months ago | 0

Answered

How to develop regression function (Mathmatical form) from trained model using regression learner?

In case of support vector machines(both for classification and regression), the score function/regression function might not be ...

How to develop regression function (Mathmatical form) from trained model using regression learner?

In case of support vector machines(both for classification and regression), the score function/regression function might not be ...

3 months ago | 0

| accepted