In machine learning, for binary classification , is SVM algorithm convex ? the found optimal solution is global for the probleme definition ?

More Samir Touzani's questions See All

Can AI learn from processes instead of data ?

Can AI learn from processes instead of data ? the question is valid for supervised and unsupervised learning. if so there is algorithms or approach for learning from process execution ?.

10 November 2019 3,142 5 View

Is Mathematics are our sixth sense ?

Comparing quantities and perceving repetition of things are provided by our elementary mathematical sense ?

03 April 2019 2,323 2 View

What are the advantages to use isotonic regression for monotonic - convexe functions ?

isotonic regression

31 December 2018 3,756 1 View

For neural network, given data where outputs are increasing related to inputs , the neural network is convexe in this case ?

10 November 2018 6,654 0 View

The range interval of outpouts in training pairs has an impact on the effectiveness of the model and its accuracy in machine learning?

I am looking to develop a prediction model using machine learning. The output is a scalar and it's an Integer. I have the flexibility to change the peer inputs oputpout for the learning model to...

06 July 2018 188 8 View

What is the best staistical approche to check a mathematical conjecture ?

There is any reference to the best staistical approche to check a mathematical conjecture ?

09 October 2017 5,076 4 View

Neural Netwoks for increasing outputs functions

For neural network, given data where outputs are increasing related to inputs , the neural network is convexe in this case ?

01 January 1970 463 0 View

Is analogy reasoning between heat transfert and electriocity allows to apply the electricity laws about resistance to thermal resistances ?

My question is a confirmation request about an analogy reasoning between heat transfert and electricity in the contexte of heat transfert by convection according to Newton law.If we considere a...

01 January 1970 5,191 9 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

Anyone plz suggest relevant topic for research in image processing+Deep learning.?

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

Can we block unwanted images during the x-ray prediction?

i am try to classify the x-ray images. During classification , can i block unwanted images (except x-ray image).

03 March 2021 7,100 1 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

Is there a classification scheme for rock cavities or caverns with respect to their size and shape?

The range of forms and sizes of cavities in rock is very big. Is there a classification scheme for rock cavities regarding their size and shape?

02 March 2021 4,511 3 View

Image Processing and classification using keras/Tensorflow?

Do you have some recommendations approaches on Image processing and classification of plant diseases using TensorFlow/Keras?

02 March 2021 1,493 4 View

Can you share me how teacher education is managed in your respective national educational system?

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

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

Does anyone have kinetic and kinematic dataset for gait classification?

I want to differentiate between normal and abnormal movement. For this reason, I am looking forward to this type of dataset.

01 March 2021 9,485 1 View

Sajid Ahmed

Yes. Actually that was the main selling point of SVM over neural networks. If we look closely at the formulation of SVM, we will see that the objective funtion along with the constraints have been kept convex in the primal form.

Liming Yuan

Yes, SVM algorithm is a kind of convex quadratic programming. SVM obtains the global optimal solution through maximizing the soft margin.