ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
5
views
0
references
Top references
cited by
63
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
1,707
similar
All similar
Record
: found
Abstract
: not found
Book
: not found
Support Vector Machines: Theory and Applications
other
Editor(s):
Lipo Wang
Publication date
(Print):
2005
Publisher:
Springer Berlin Heidelberg
Read this book at
Publisher
Buy book
Review
Review book
Invite someone to review
Bookmark
Cite as...
There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
Applications of SAXS
Author and book information
Book
ISBN (Print):
978-3-540-24388-5
ISBN (Electronic):
978-3-540-32384-6
Publication date (Print):
2005
DOI:
10.1007/b95439
SO-VID:
8363be35-937e-4219-b4e1-52f660d1201d
License:
http://www.springer.com/tdm
History
Data availability:
Comments
Comment on this book
Sign in to comment
Book chapters
pp. 1
Support Vector Machines – An Introduction
pp. 49
Multiple Model Estimation for Nonlinear Classification
pp. 77
Componentwise Least Squares Support Vector Machines
pp. 99
Active Support Vector Learning with Statistical Queries
pp. 113
Local Learning vs. Global Learning: An Introduction to Maxi-Min Margin Machine
pp. 133
Active-Set Methods for Support Vector Machines
pp. 159
Theoretical and Practical Model Selection Methods for Support Vector Classifiers
pp. 181
Adaptive Discriminant and Quasiconformal Kernel Nearest Neighbor Classification
pp. 205
Improving the Performance of the Support Vector Machine: Two Geometrical Scaling Methods
pp. 219
An Accelerated Robust Support Vector Machine Algorithm
pp. 233
Fuzzy Support Vector Machines with Automatic Membership Setting
pp. 255
Iterative Single Data Algorithm for Training Kernel Machines from Huge Data Sets: Theory and Performance
pp. 275
Kernel Discriminant Learning with Application to Face Recognition
pp. 297
Fast Color Texture-Based Object Detection in Images: Application to License Plate Localization
pp. 321
Support Vector Machines for Signal Processing
pp. 343
Cancer Diagnosis and Protein Secondary Structure Prediction Using Support Vector Machines
pp. 365
Gas Sensing Using Support Vector Machines
pp. 387
Application of Support Vector Machines in Inverse Problems in Ocean Color Remote Sensing
pp. 399
Application of Support Vector Machine to the Detection of Delayed Gastric Emptying from Electrogastrograms
pp. 413
Tachycardia Discrimination in Implantable Cardioverter Defibrillators Using Support Vector Machines and Bootstrap Resampling
Similar content
1,707
Computing schizophrenia: ethical challenges for machine learning in psychiatry.
Authors:
Georg Starke
,
Eva M De Clercq
,
Stefan Borgwardt
…
Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review
Authors:
Zeinab Sherkatghanad
,
Moloud Abdar
,
Jeremy Charlier
…
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage
Authors:
Md Rafi Ur Rashid
,
Jing Liu
,
Toshiaki Koike-Akino
…
See all similar
Cited by
59
Electronic Nose and Its Applications: A Survey
Authors:
Diclehan Karakaya
,
Oguzhan Ulucan
,
Mehmet Turkan
Machine learning and data science in soft materials engineering
Authors:
Andrew L. Ferguson
Parameter investigation of support vector machine classifier with kernel functions
Authors:
Alaa Tharwat
See all cited by