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
12
views
17
references
Top references
cited by
50
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
2,134
similar
All similar
Record
: found
Abstract
: not found
Article
: not found
Toward efficient agnostic learning
Author(s):
Michael J. Kearns
,
Robert E. Schapire
,
Linda M. Sellie
Publication date
Created:
1994
Publication date
(Print):
1994
Journal:
Machine Learning
Publisher:
Springer Nature
Read this article at
ScienceOpen
Publisher
Further versions
open (via free pdf)
Powered by
Review
Review article
Invite someone to review
Bookmark
Cite as...
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Abstract
Related collections
Annual Reviews AI, Machine Learning, and Society
Most cited references
17
Record
: found
Abstract
: not found
Article
: not found
Probability Inequalities for Sums of Bounded Random Variables
Wassily Hoeffding
(1963)
0
comments
Cited
251
times
– based on
0
reviews
Review now
Bookmark
Record
: found
Abstract
: not found
Article
: not found
Learnability and the Vapnik-Chervonenkis dimension
Anselm Blumer
,
A Ehrenfeucht
,
David Haussler
…
(1989)
0
comments
Cited
168
times
– based on
0
reviews
Review now
Bookmark
Record
: found
Abstract
: not found
Article
: not found
Learning in Artificial Neural Networks: A Statistical Perspective
Halbert L. White
(1989)
0
comments
Cited
127
times
– based on
0
reviews
Review now
Bookmark
All references
Author and article information
Journal
Title:
Machine Learning
Abbreviated Title:
Mach Learn
Publisher:
Springer Nature
ISSN (Print):
0885-6125
ISSN (Electronic):
1573-0565
Publication date Created:
1994
Publication date (Print):
1994
Volume
: 17
Issue
: 2-3
Pages
: 115-141
Article
DOI:
10.1007/BF00993468
SO-VID:
d112bbe8-b376-46ef-b4cb-ed49889e57b2
Copyright ©
© 1994
History
Data availability:
Comments
Comment on this article
Sign in to comment
scite_
Similar content
2,134
Early kinetics of C reactive protein for cancer-agnostic prediction of therapy response and mortality in patients treated with immune checkpoint inhibitors: a multicenter cohort study
Authors:
Dominik A Barth
,
Florian Moik
,
Sarah Steinlechner
…
The Logical Consistency of Simultaneous Agnostic Hypothesis Tests
Authors:
Luis Esteves
,
Rafael Izbicki
,
Rafael Bassi Stern
…
Agnostic Federated Learning
Authors:
Mehryar Mohri
,
Gary Sivek
,
Ananda Suresh
See all similar
Cited by
50
Clustering with qualitative information
Authors:
Moses Charikar
,
Anthony Wirth
,
Venkatesan Guruswami
On the difficulty of approximately maximizing agreements
Authors:
Shai Ben-David
,
Nadav Eiron
,
Philip Long
Guest Column
Authors:
Ronald de Wolf
,
Srinivasan Arunachalam
See all cited by
Most referenced authors
79
M Li
M. LI
B Yu
See all reference authors