Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, Uram Anibal Sosa Aguirre. Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing. In Suash Deb, editor, ISMSI '20: 2020 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, ISMSI 2020, Thimphu, Bhutan, March 21-22, 2020. pages 8-12, ACM, 2020. [doi]

This author has not been identified. Look up 'Laxman Bokati' in GoogleThis author has not been identified. Look up 'Olga Kosheleva' in GoogleThis author has not been identified. Look up 'Vladik Kreinovich' in GoogleThis author has not been identified. Look up 'Uram Anibal Sosa Aguirre' in Google

runs on WebDSL