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内部出版物
SpringerLink电子期刊(12)
NATURE电子期刊(1)
Elsevier电子期刊(1)
在“
SpringerLink电子期刊
”中,
命中:
12
条,耗时:小于0.01 秒
在所有数据库中总计命中:
14
条
1.
Learning to Identify Historical Figures for Timeline Creation from Wikipedia Articles
作者:
Sandro Bauer (15)
Stephen Clark (15)
Thore
Graepel
(16)
刊名:Lecture Notes in Computer Science
出版年:2015
2.
Probabilistic Programs as Spreadsheet Queries
作者:
Andrew D. Gordon (14) (15)
Claudio Russo (14)
Marcin Szymczak (15)
Johannes Borgstr枚m (16)
Nicolas Rolland (14)
Thore
Graepel
(14)
Daniel Tarlow (14)
14. Microsoft Research
;
Cambridge
;
United Kingdom
15. University of Edinburgh
;
Edinburgh
;
United Kingdom
16. Uppsala University
;
Uppsala
;
Sweden
刊名:Lecture Notes in Computer Science
出版年:2015
3.
Manifestations of user personality in website choice and behaviour on online social networks
作者:
Michal Kosinski (1)
Yoram Bachrach (2)
Pushmeet Kohli (2)
David Stillwell (1)
Thore
Graepel
(2)
关键词:
Personality
;
Individual differences
;
Social networks
;
Facebook
;
Personalization
;
Web search
;
Online advertising
;
Machine learning
刊名:Machine Learning
出版年:2014
4.
Learning a Theory of Marriage (and Other Relations) from a Web Corpus
作者:
Sandro Bauer (22)
Stephen Clark (22)
Laura Rimell (22)
Thore
Graepel
(23)
刊名:Lecture Notes in Computer Science
出版年:2014
5.
ML Confidential: Machine Learning on Encrypted Data
作者:
Thore
Graepel
(19)
Kristin Lauter (19)
Michael Naehrig (19) (20)
刊名:Lecture Notes in Computer Science
出版年:2013
6.
Score-Based Bayesian Skill Learning
作者:
Shengbo Guo (20)
Scott Sanner (21)
Thore
Graepel
(22)
Wray Buntine (21)
关键词:
variational inference
;
matchmaking
;
graphical models
刊名:Lecture Notes in Computer Science
出版年:2012
7.
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
作者:
Gjergji Kasneci
;
Jurgen Van Gael
;
Ralf Herbrich
;
Thore
Graepel
关键词:
Knowledge Base
;
RDFS
;
User Feedback
;
Reasoning
;
Probability
;
Graphical Model
刊名:Lecture Notes in Computer Science
出版年:2010
8.
PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification
作者:
Thore
Graepel
;
Ralf Herbrich and John Shawe-Taylor
关键词:
classification
;
error bounds
;
sample compression
;
PAC
;
Bayes
;
kernel classifiers
刊名:Machine Learning
出版年:2005
9.
Machine learning and games
作者:
Michael Bowling
;
Johannes F¨¹rnkranz
;
Thore
Graepel
and Ron Musick
刊名:Machine Learning
出版年:2006
10.
Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems
作者:
Thore
Graepel
;
Nicol N. Schraudolph
刊名:Lecture Notes in Computer Science
出版年:2002
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