Questions tagged [matlab]
MATLAB is a high-level language and interactive programming environment for numerical computation and visualization developed by MathWorks. Don’t use both the [matlab] and [octave] tags, unless the question is explicitly about the similarities or differences between the two. When using this tag, please mention the MATLAB release you're working with (e.g. R2017a).
152
questions
1
vote
0answers
11 views
Unable to train neural network for prediction
My data consists of a time series of values $\pm1$ and I am trying to apply a RBF NN as a function approximator. Essentially, the NN will take as input one data sample and predict the next sample (...
0
votes
0answers
7 views
Same training and test data is fed to SVM RBF kernel in python and matlab giving different results
I have used 60 % data as training data and 40% data as test data. Exactly same instances of data are fed to SVM RBF kernel in Python and SVM Gaussian in MatLab. But the results of prediction in MatLab ...
1
vote
0answers
26 views
Backpropagation on a CNN
I have tried searching for this, but it seems like no one addresses a key aspect of this problem (or maybe I'm overthinking this):
So, first let's assume we have a 3x3 image with a single channel, and ...
0
votes
0answers
32 views
Siamese Network with Triplet Loss function using the Matlab's Deep Network Designer
How can I design a Siamese Network with Triplet Loss function using the Matlab's Deep Network Designer?
I was not able to achieve this.
0
votes
1answer
14 views
Reducing features to 2 by PCA confusion Matlab
I am trying to reduce $500$ features to $2$ as an assignment. I wrote the following code and I am deeply concerned if it is true as when I plot it on the graph it does not look good. It should look ...
0
votes
1answer
22 views
Performing 1D Depthwise conv using Keras 2D Depthwise conv
I would like to perform a 1D Depthwise convolution (ie the first step of the depthwise-separable convolution) for a machine learning model I am working on. This means that for an input activation ...
1
vote
1answer
26 views
Pixel labelled image is must for semantic segmentation using deep learning in matlab?
I have large set of CT images containing lung regions. But I don't have corrosponding pixel labelled images. So how I could do semantic segmentation using DL in matlab. Like a test program I created 6 ...
0
votes
0answers
16 views
differences in NN optimization algorithm between Matlab and Scikit-Learn
I'm trying to build a neural network to estimate the responses of a nonlinear system. My database contains 1000 load cases (inputs) and maximum responses (outputs) from numeric simulations.
I'm using ...
0
votes
0answers
16 views
Algorithm for clustering worm-like points in a cloud
I have a cloud of points were I can clearly identify worm-like patterns in the cloud, along the Z-axis but embedded in the noise.
My goal is to cluster the points that belong to the same "worm'. ...
0
votes
0answers
17 views
Problem in working out an example of SVM: mathematical steps
I am trying to code SVM from scratch using a small toy problem that involves five support vector values. In the code below, there are 5 support vectors arbitrary chosen and denoted by the variables <...
0
votes
0answers
13 views
K-means related question
I am a new user to Matlab kmeans and have the following question:
I would like to use the following call from a Python application which is listed in this URL.
...
0
votes
0answers
47 views
Method of hyperparameter tuning for regression tree ensembles in Matlab
What regression tree ensemble methods and what parameters does Matlab actually consider in hyperparameter tuning? The documentation appears to be sparse, to say the least.
See https://se.mathworks.com/...
0
votes
0answers
35 views
Results of quadratic SVM in Matlab are different from the results obtained in Python
I am trying to replicate a quadratic SVM classifier from Matlab to Python, however I am having different results regarding the accuracy. In Matlab the accuracy is 0.8955 meanwhile in Python the ...
0
votes
0answers
41 views
Looking for a machine learning algorithm that can classify line plots into two groups?
I have a dataset of many 2-D line plots that represent height versus position measured from an AFM.
I am interested in training a model by classifying these lines into two groups: presence of a defect ...
2
votes
1answer
166 views
How to calculate the different metrics for multi class classification
My confusion matrix has the following structure:
(Predicted)
C= ( actual) [TN FP
FN TP]
How can I calculate the Mathews ...
0
votes
1answer
55 views
MNIST 2-layer NN failing to recognize certain digits
Recently I've been taking a look into some basic multilayer neural networks, and I decided to try tackling the MNIST database of handwritten digits using a 2 layer neural network with 100 neurons in ...
0
votes
0answers
33 views
How do I apply radon and iradon function in a 3D image
I am using matlab image processing
, I have a 3DBodyphantom image of a CT scan which displays the axial,coronal and saggital slices, I am to apply to the image the radon function to get a sinogram and ...
0
votes
1answer
35 views
How to get used to matricial/vectorial operations?
I came to data science/machine learning from another background in computer science and i feel that i'm lacking of experience with matricial/vectorial operations.
Python or Matlab, for instance, ...
1
vote
1answer
43 views
how to read emotion label of MSP-IMPROV dataset samples?
I need to read MSP-IMPROV dataset audio file's to conduct research. I read the help file that says 15th character of the file name, shows the emotion label of each utterance.
For example:
MSP-IMPROV-...
-1
votes
2answers
208 views
How to find the average over an area of center for a given radius
folks, I have an excel file which contains the lat and long values of the center of a Tropical Cyclone(TC). The excel file is as given below:
Also, I have an NC(NetCDF) file which is of that of ...
0
votes
1answer
20 views
Optimization function returns the same optimal parameters for two labels
I've recently enrolled in the Coursera machine learning, and am working my way through making my own classifier for the Iris dataset problem using matlab. I'm training a classifier for each species (...
0
votes
0answers
26 views
looking for a correlation function for categorical + numerical datasets in matlab
I am looking for a function in Matlab that calculates the correlation coefficient of a data set that includes categorical + numerical data. I am quite surprised this isn't as straightforward as I ...
1
vote
0answers
19 views
Matlab Optimization. Meaning of warning: “The slope should be 2. It appears to be 1.”
I'm using the manopt package to solve some optimization problems in matlab. The problem is of the form.
problem.cost = @(x) f(x)
problem.egrad = @(x) g(x)
After the problem definition, I check ...
1
vote
1answer
75 views
gradient descent diverges extremely
I have manually created a random data set around some mean value and I have tried to use gradient descent linear regression to predict this simple mean value.
I have done exactly like in the manual ...
1
vote
0answers
18 views
Optimization problem with different type of constraints
I'm new to optimization problems. I want to find optimum values for my objective function. You can imagine my function as E = f(t1, t2, t3). I want to minimize <...
1
vote
0answers
7 views
I want to use a neural network for a control block in MATLAB, but without Simulink
I have a physical model that produces an error value after running, which I want to minimize by a Neural Network. I can not find a MATLAB function however that lets me run the program and use the RMSE ...
0
votes
1answer
16 views
Why normalize function has a different result on a matrix vs single value?
I have a matrix like:
B=[ 1.5035; 1.5728; 1.6485; 1.5369; 1.5467; 1.572; 1.5374; 1.787; 1.5825; 1.6905];
Using normalize function like normalize(B,'range') ...
1
vote
0answers
18 views
Embedding git commit into the resulting data
Our pipeline works something like that:
Collect bunch of raw data (10-100 GB) from microscope
Process data using MATLAB scripts
Change few parameters based on raw data, as well as add new features to ...
-1
votes
1answer
64 views
kmean clustering
I am having a problem in Matlab. I would like to use kmeans clustering and then get the value and index of the centroid. For example, if there is an $5*5$ array, we do kmeans clustering where k=2 and ...
2
votes
1answer
303 views
Hyperparameter optimization performance comparison
I have used Bayesian optimization for hyperparameter tuning in a machine learning model. What is the best way to compare the performance of network with and without Bayesian optimization? I found some ...
2
votes
0answers
227 views
Using LSTM to forecast vehicle position - multivariate time series - Matlab
I am trying to train an LSTM model on Matlab to forecast the position of a vehicle when driving around a roundabout. My main concern right now is that my dataset consists of 4 features (X position, Y ...
3
votes
1answer
758 views
How to find the various matrix sizes in designing a CNN
I am trying to understand CNN especially the maths and working mechanism using Matlab as the coding language. I have few confusion regarding the concept and the associated programming and will be ...
1
vote
1answer
591 views
Tensorflow simple neural network has very bad performance in regression (curve fitting) problem
I'm trying to implement a very simple one layered MLP for a toy regression problem with one variable (dimension = 1) and one target (dimension = 1). It's a simple curve fitting problem with zero noise....
0
votes
1answer
53 views
Is it possible to change test and train data size when using crossvalind function with Kfold param?
I was looking at MATLAB Help and want to work with "crossvalind" function.
It would two parameters that you can use it.
If you use "HoldOut" you can define partition size of test and train data set ...
1
vote
1answer
37 views
Is there a common strategy to measure if a difference-significance of two areas under two ROC curves
I conduct sound detection experiments with mice.
I have a stimulus sound and a "noise" sound that shoukd be ignored.
I want to measure how well the mouse ignors the noise (with respect to, say, ...
1
vote
1answer
38 views
Why GA convergence curves continue as two parallel lines?
I'm working on a optimization problem and using GA algorithm (in MATLAB, ga function).
As you know MATLAB plots GA result with two curves, one for the best values and other to show the mean values ...
0
votes
1answer
52 views
What method is recommended after outliers removal?
I have a data of mice reaction times. In every session, there are some trials in which the mouse "decides of a break" and responds after a long time to these specific trials.
I was thinking ...
1
vote
0answers
22 views
Octave or python for implementing Machine Learning [closed]
When is the need to learn octave or Mat Lab for Machine Learning? Are these required if you are proficient in python?
0
votes
0answers
32 views
Why do the training curve fall sharp suddenly?
I am training a CNN classifier on a binary balanced dataset. The dataset has 4500 numbers of tweet data along with the class of the tweet. During training, I am applying, GLOVE embedding of 300 ...
0
votes
1answer
253 views
Why is my Python Altair chart printing a blank line?
Wondering if anyone can help me understand why python altair chart is not printing...
I’m only seeing this when I run the code:
It literally isn’t outputting anything.
This is what my chart looks ...
1
vote
1answer
61 views
Feature selection method explanation
In the context of feature relevance, I am trying to understand the meaning of the correlation method for feature selection. Can somebody please explain if the following results of the correlation ...
0
votes
1answer
53 views
Modelling in python and scoring in MATLAB?
I have model objects either pickled object or H2O POJO. Is it possible to call those objects and do the scoring in MATLAB?
0
votes
0answers
78 views
How to implement loss function for CNN-SVM implementation
I am using Matlab R2018b and am trying to infuse svm classifier within CNN. My plan is to use CNN only as a feature extractor and use SVM as the classifier. I know people have already implemented it a ...
1
vote
1answer
342 views
What should I master better for professional data science in economics and finance? [closed]
First, excuse me for the noob and long question which is probably doesn’t even belong to here, I know there are several question been answered like this out there, but I think this is going to be up-...
1
vote
1answer
64 views
How to store a trained Random Forest model in python or matlab as a matrix
Is it possible to store a random forest model in python (or matlab). Then use that trained model in a C program?
I am trying to do this because I am making a myoelectric prosthetic, and you can only ...
2
votes
2answers
62 views
Finding roots of a non linear expression when multiplied with a linear expression
Here is a simple polynomial equation:
b^2 + 2b + 1 = 0
I could easily solve this as:
...
0
votes
0answers
21 views
Error using imread function in matlab code
I was doing some sort of speech recognition pattern for recognition of sound but I stuck at imread error in matlab, any advice what to change in picture below you can find code and error.
Code
Error
...
1
vote
0answers
23 views
How to develop this type of neural network? [closed]
I was given this task to develop, this type of neural network but I never done speech recognition and that type of recognition in Matlab, so could anyone please help and give some help about this task....
0
votes
2answers
259 views
Shouldn't an autoencoder with #(neurons in hidden layer) = #(neurons in input layer) be “perfect”?
I'm exploring autoencoders for the first time. I'm using the Matlab neural networks toolbox. I have created a synthetic dataset consisting of points in 2D space plus some noise. My idea was to ...
0
votes
1answer
54 views
What's the correct form of use the real coded genetic algorithm?
I'm new to genetic algorithms, but I haven't found specific info about real-coded GA's. I want to do antenna array optimization by using the real values of antenna position, phase, and amplitude, but ...
