SOL: A library for scalable online learning algorithms
SOL is an open-source library for scalable online learning with high-dimensional data. The library provides a family of regular and sparse online learning algorithms for large-scale classification tasks with high efficiency, scalability, portability, and extensibility. We provide easy-to-use command...
Saved in:
Main Authors: | WU, Yue, HOI, Steven C. H., LIU, Chenghao, LU, Jing, SAHOO, Doyen, YU, Nenghai |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2017
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/3991 https://ink.library.smu.edu.sg/context/sis_research/article/4993/viewcontent/SOL__A_library_for_scalable_online_learning_algorithms.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Scalable online kernel learning
by: LU, Jing
Published: (2017) -
Online Portfolio Selection: Principles and Algorithms
by: LI, Bin, et al.
Published: (2015) -
SOAL: Second-order Online Active Learning
by: HAO, Shuji, et al.
Published: (2017) -
Sparse Passive-Aggressive learning for bounded online kernel methods
by: LU, Jing, et al.
Published: (2018) -
Cost sensitive online multiple kernel classification
by: SAHOO, Doyen, et al.
Published: (2016)