Is SVM a part of deep learning?

12 answers found

Thus, executing deep learning requires heavy computation, so deep learning is usually utilized with parallel computation with many cores or many machines.

Analysis of function of rectified linear unit used in deep learning

12 Jul 2015• 160 citations

Recently, it is found that SVM in some cases is equivalent to MLC in probabilistically modeling the learning process.

Combining MLC and SVM classifiers for learning based decision making: analysis and evaluations

01 Jan 2015•Computational Intelligence and Neuroscience 18 citations

The experimental results demonstrate the effectiveness of the deep SVM back-end system as compared to state-of-the-art techniques.

Improving of Open-Set Language Identification by Using Deep SVM and Thresholding Functions

01 Oct 2017• 3 citations

As a result, deep features are reliably extracted without additional feature extraction efforts, using multiple layers of the SVM with GMM.

A novel deep learning by combining discriminative model with generative model

12 Jul 2015• 6 citations

Support Vector Machine(SVM)is one of novel learning machine methods, its advantages are simple structure, strong compatibility, global optimization, least raining time and better generalization.

Network security risk assessment based on support vector machine

27 May 2011• 5 citations

It was found that deep-learning methodologies perform better than SVM methodology in normal or abnormal classification.

Deep Learning Methods for Classification of Certain Abnormalities in Echocardiography

20 Feb 2021•Electronics

The results show that the deep learning techniques outperform the SVM algorithm.

Sentiment Analysis of Saudi Dialect Using Deep Learning Techniques

01 Jan 2019• 15 citations

Moreover, the experiments show a good generalization ability of SVM which allows transfer and reuse of trained learning machines.

Learning Change from Synthetic Aperture Radar Images: Performance Evaluation of a Support Vector Machine to Detect Earthquake and Tsunami-Induced Changes

23 Sep 2016•Remote Sensing 38 citations

The study confirms the effectiveness of the proposed scheme compared to the existing supervised classification methods including SVM and Deep Learning.

Machine Learning with partially labeled Data for Indoor Outdoor Detection

11 Jan 2019• 9 citations

It is found that the deep learning-based method provides a more accurate classification result than the traditional ones.

On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery

01 Jul 2015•Journal of remote sensing 147 citations

These results highlight the relevance of an appropriate choice of the image representation before SVM learning.

On the Suitable Domain for SVM Training in Image Coding

01 Jun 2008•Journal of Machine Learning Research

This stands as a testimony to the increased potential of deep learning techniques over the more traditional machine learning techniques.

Image Classification using SVM and CNN

13 Mar 2020• 6 citations