A new machine learning algorithm based on optimization method for regression and classification problems
© 2020 by the authors. A convex minimization problem in the form of the sum of two proper lower-semicontinuous convex functions has received much attention from the community of optimization due to its broad applications to many disciplines, such as machine learning, regression and classification pr...
Saved in:
Main Authors: | Warunun Inthakon, Suthep Suantai, Panitarn Sarnmeta, Dawan Chumpungam |
---|---|
Format: | Journal |
Published: |
2020
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85087446665&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/70704 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Global minimization of best proximity points for semi-cyclic berinde contractions
by: Panitarn Sarnmeta, et al.
Published: (2018) -
A parallel inertial S-iteration forward-backward algorithm for regression and classification problems
by: Limpapat Bussaban, et al.
Published: (2020) -
Global Minimization of Best Proximity Points for Some Nonlinear Mappings and Some Algorithms for Solving Unconstrained Convex Optimization Problems
by: Panitarn Sarnmeta
Published: (2020) -
Strong convergence theorems for generalized nonexpansive mappings with the system of equilibrium problems in banach spaces
by: Warunun Inthakon
Published: (2018) -
Strong convergence of the shrinking projection method for the split equilibrium problem and an infinite family of relatively nonexpansive mappings in banach spaces
by: Nutchari Niyamosot, et al.
Published: (2020)