Classification Task: Is it useful to fix values of some categorical feature and to solve task a several times for different values of this feature?

Some feature of my classification task can get only limited amount of values, e.g. only values 0 and 1. What is your opinion and experience: is it useful to fix values of this feature and to solve...

04 May 2019 4,670 7 View

How Neural Networks can guarantee, that obtained solution really will be global minimum?

Support Vector Machines (SVM), Logistic Regression (LR) and some other classification methods can guarantee, that obtained solution really will be global minimum, because they use convex goal...

10 November 2018 8,003 6 View

How to solve classification tasks with unbalanced data sets on Matlab Neural Network Toolbox ?

Direct using of the Matlab Neural Network Toolbox for unbalanced Data Set (only 15% of all objects are positive) gets non-correct results : Sensitivity = 0.4%, Specificity = 99%. Direct using of...

09 October 2018 3,424 7 View

Is it good to use F-measure to perform tuning (select meta-parameter values) on Classification Tasks ?

To perform tuning (i.e. to select meta-parameter values) on Classification Tasks usually use such integral criteria, as F_k_measure ( = (k+1)/( k/recall +1/precision ) ), G_measure ( = (...

06 July 2018 7,708 3 View

Comparison of Deep Learning with SVM, Logistic Regression, etc ?

I've read several times that on the problems of large dimension (Image Recognition, Text Mining, ...), the Deep Learning method gives significantly higher accuracy than the "classical" methods...

04 May 2018 3,217 15 View

How to perform classification for tasks with discrete variables ?

04 May 2018 6,932 5 View

Is it possible to use Deep Learning for Regression Tasks?

Some Machine Learning methods have versions both for Classification and Regression. For example, SVM method (Support Vector Machine) has realizations SVC (Support Vector Classification) and SVR...

01 February 2018 6,350 14 View

No title

Assume, that x is input parameter, y is real output value and z is predicted output value. Early (20 years ago!) for sensitivity I have mean indicator of correction of prediction function changing...

11 December 2017 5,730 5 View

How to perform Goodness-of-Fit based on Maximum Likelihood Estimation ?

To check, how our statistics corresponds for selected distribution, we should perform Goodness-of-Fit test. Usually these tests are Chi-Square, Kolmogorov-Smirnov, Kramer-Mizes and etc. But is it...

10 November 2017 385 24 View

How to use SVM for Data Sets with Missing Data?

Values of some parameters for some objects are missing (blank). How to use (transform) SVM classification method for such Data Sets? Please, give me advises, links, references, articles, etc....

04 May 2017 4,485 14 View

Why should we choose deep learning to machine learning? Why is CNN better for image classification? Can I get Typical Answer?

What Characteristics makes CNN work better?

03 March 2021 1,458 4 View

What are some of the research gaps in machine learning and artificial intelligence in africa?

i would to know some of the research gaps in the artificial intelligence field in most african countries.

03 March 2021 6,145 3 View

How to increase a model accuracy ?

dear community, my model is based feature extraction from non stationary signals using discrete Wavelet Transform and then using statistical features then machine learning classifiers in order to...

03 March 2021 6,994 5 View

Can NFL theorem be valid in infinite search space in ML?

NFL theorem is valid for algorithms training in fixed training set. However, the general characteristic of algorithms in expanded or open dataset has not been proved yet. Could you show your...

01 March 2021 1,189 3 View

What is the difference between L1 and L2 regularization in machine learning?

L1 and L2 regularization

28 February 2021 4,187 3 View

Is there a deep reason for using the squared modulus of the wave function as the probability density of the existence of the particle?

I think we were all surprised at the first time we got to know quantum mechanics that the squared modulus of the wave function is the probability density of the existence of the particle? The role...

28 February 2021 6,282 9 View

Can anyone provide the Support vector regression code structure of LIBSVM MATLAB or python ?

Please, if Gaussian Parameter optimization is possible in this code structure

28 February 2021 278 3 View

Is there any Machine Learning/AI algorithm that lets you predict with incomplete features without missing value imputation process?

For instance, the model is trained with A,B,C,D,E features to predict F target. Then, I want to make prediction on a new data, but with only A,C,D,E is known without doing missing value imputation...

28 February 2021 1,556 6 View

How can I represent SDS-PAGE results for machine learning analysis?

I am trying to classify and analyze the results of an SDS-PAGE based array for bacterial detection using machine learning, but I have trouble finding the best way to represent the results with...

27 February 2021 9,176 3 View

How to plot the probability paper of Gumbel distribution using R programing?

In R-studio, there are many commands of Gumbel package. Arguments are also different. I`m asking about the alpha parameter of the Copula which must be greater than 1. If this is the one used to...

25 February 2021 5,229 3 View