Learning with multiple kernels : algorithms and applications
Multiple kernel learning (MKL) is a family of machine learning techniques by learning with multiple kernel functions/matrices. It has been demonstrated as a promising technique for solving many real-world applications, especially for its power of exploiting multiple kernels for fusing diverse inform...
Saved in:
Main Author: | Hao, Xiao |
---|---|
Other Authors: | Hoi Chu Hong |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/61755 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Evaluation of semi-supervised classification algorithms with deep contextualizes document representations
by: Yong, Hao
Published: (2021) -
Evaluation of context awareness algorithms for recommending mobile content
by: Dong, Hong Liang
Published: (2014) -
Remembrance agent : from theory to applications
by: Han, Xiaogang
Published: (2014) -
Application of parallel processing in natural language processing
by: Xu, Peng.
Published: (2009) -
Lost n found web application
by: Maung, Aye Myint
Published: (2023)