Parallel Software for Million-scale Exact Kernel Regression
Abstract
References
Index Terms
- Parallel Software for Million-scale Exact Kernel Regression
Recommendations
A note on kernel principal component regression
Kernel principal component regression (KPCR) was studied by Rosipal et al. [18, 19, 20], Hoegaerts et al. [7], and Jade et al. [8]. However, KPCR still encounters theoretical difficulties in the procedure for constructing KPCR and in the choice rule for ...
Kernel linear regression for face recognition
Linear regression uses the least square algorithm to solve the solution of linear regression equation. Linear regression classification (LRC) shows good classification performance on face image data. However, when the axes of linear regression of class-...
Online multiple kernel regression
KDD '14: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data miningKernel-based regression represents an important family of learning techniques for solving challenging regression tasks with non-linear patterns. Despite being studied extensively, most of the existing work suffers from two major drawbacks: (i) they are ...
Comments
Information & Contributors
Information
Published In
![cover image ACM Conferences](/cms/asset/90f4b7cf-b5d8-42f3-8ea3-33a09ba77d8e/3577193.cover.jpg)
- Chair:
- Kyle Gallivan,
- Co-chair:
- Efstratios Gallopoulos,
- Program Co-chairs:
- Dimitrios S. Nikolopoulos,
- Ramon Beivide
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
Funding Sources
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 416Total Downloads
- Downloads (Last 12 months)406
- Downloads (Last 6 weeks)17
Other Metrics
Citations
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in