What is machine learning problem (MLP) ?!
Does MLP has some characteristics? So if exist one can say yes this is an MLP!
For Optimization problem, can be seeing as MLP?!
also can one see an MLP as optimization problem?!
Hello, I am working on binary classification problem. The data that I have is a set of independent variables (features) and has a target (class or label) as follows: size of the data set between...
07 August 2019 7,715 8 View
Evolutionary multiobjective Optimization (EMO) is a type of optimization methodology inspired by the mechanism of bilogical evolution. The developments and applications of EMO algorithms have...
04 May 2018 986 7 View
Dear respected researchers I am looking for good journals to publish research works in the area of evolutionary multiobjective optimisation. also the some of the work contains topics in Machine...
07 August 2017 1,356 12 View
What Characteristics makes CNN work better?
03 March 2021 1,458 4 View
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
I have selected brain tumor images ...but now found that already lots of research done n this topic.
03 March 2021 5,774 3 View
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
I feel that the practice in teacher education in my country is below the expected performance level due to very poor management system. Hope I will learn something from your experiences.
02 March 2021 1,516 4 View
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
L1 and L2 regularization
28 February 2021 4,187 3 View
The following code (see 1st 2 images attached) is used to produce PID controller values that are designed to control the system (G). The code finds the PID controller values (noted as k) by using...
28 February 2021 6,560 14 View
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
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