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
45
references
Top references
cited by
18
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
1,834
similar
All similar
Record
: found
Abstract
: not found
Article
: not found
Forecast aggregation via recalibration
Author(s):
Brandon M. Turner
,
Mark Steyvers
,
Edgar C. Merkle
,
David V. Budescu
,
Thomas S. Wallsten
Publication date
(Print):
October 12 2013
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.
Related collections
Annual Reviews AI, Machine Learning, and Society
Most cited references
45
Record
: found
Abstract
: found
Article
: not found
Advances in prospect theory: Cumulative representation of uncertainty
Amos Tversky
,
Daniel Kahneman
(1992)
Journal of Risk and Uncertainty, 5(4), 297-323
0
comments
Cited
1723
times
– based on
0
reviews
Review now
Bookmark
Record
: found
Abstract
: not found
Article
: not found
Combining forecasts: A review and annotated bibliography
Robert T. Clemen
(1989)
0
comments
Cited
289
times
– based on
0
reviews
Review now
Bookmark
Record
: found
Abstract
: not found
Article
: not found
A New Vector Partition of the Probability Score
Allan Murphy
(1973)
0
comments
Cited
225
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:
June 2014
Publication date (Print):
October 12 2013
Volume
: 95
Issue
: 3
Pages
: 261-289
Article
DOI:
10.1007/s10994-013-5401-4
SO-VID:
8b4b6fac-47ab-40af-aeab-f2f87b2f9814
Copyright ©
© 2013
History
Data availability:
Comments
Comment on this article
Sign in to comment
scite_
Similar content
1,834
Milky Way Tomography with the SkyMapper Southern Survey. II. Photometric Recalibration of SMSS DR2
Authors:
Yang Huang
,
Haibo Yuan
,
Chengyuan Li
…
Reach adaptation and proprioceptive recalibration following terminal visual feedback of the hand
Authors:
Victoria Barkley
,
Danielle Salomonczyk
,
Erin K. Cressman
…
The recalibration of a paradigm for the first peopling of Greater Australia
Authors:
See all similar
Cited by
18
Crowd-sourced Text Analysis: Reproducible and Agile Production of Political Data
Authors:
MICHAEL LAVER
,
SLAVA MIKHAYLOV
,
BENJAMIN E. LAUDERDALE
…
Accuracy of forecasts in strategic intelligence.
Authors:
D R Mandel
,
A. Barnes
Forecasting Tournaments
Authors:
Philip E. Tetlock
,
Barbara A. Mellers
,
Nick Rohrbaugh
…
See all cited by
Most referenced authors
519
H Takahashi
Y Zhu
H. TAKAHASHI
See all reference authors