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CNKI学位论文(682)
CNKI期刊论文0611(1)
知网期刊论文(228)
在“
Elsevier电子期刊
”中,
命中:
37
条,耗时:0.0240164 秒
在所有数据库中总计命中:
911
条
1.
Data Driven Wave of Certainty- a question of ethical sustainability
作者:
Karamjit S. Gill
kgillbton@yahoo.co.uk
关键词:
artificial intelligence
;
big data
;
existential risk
;
ethics
;
judgment
;
dualism
;
symbiosis
刊名:IFAC-PapersOnLine
出版年:2016
2.
Approximation of function evaluation over sequence
argument
s via specialized data structures
作者:
Tamal T. Biswas
;
tamaltan@buffalo.edu" class="auth_mail" title="E-mail the corresponding author
;
Kenneth W. Regan
;
regan@buffalo.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Data structures
;
Memoization
;
Sequences
;
Metrics
;
Topology
;
Machine
learning
;
Cloud computing
刊名:Theoretical Computer Science
出版年:2015
3.
The Use of the
Argument
Structure of the Verb in Spanish for Artificial Intelligence: A Proposal
作者:
Alfonso Figueroa Colí
;
n
;
ajfigueroac@usal.es" class="auth_mail" title="E-mail the corresponding author
关键词:
argument
;
argument
structure
;
predicate scheme
;
cognitive computer
;
artificial intelligence
刊名:Procedia - Social and Behavioral Sciences
出版年:2015
4.
Learning
algorithms may perform worse with increasing training set size: Algorithm-data incompatibility
作者:
Waleed A. Yousef
a
;
wyousef@aucegypt.edu" class="auth_mail
;
wyousef@gwu.edu" class="auth_mail
;
Subrata Kundu
b
关键词:
Machine
learning
;
Pattern recognition
;
Statistical
learning
;
Stable distribution
;
Convergence
;
Stochastic concentration
刊名:Computational Statistics and Data Analysis
出版年:June, 2014
5.
Elicitation of neurological knowledge with
argument
-
based
machine
learning
作者:
Vida Groznik
a
;
vida.groznik@fri.uni-lj.si
;
;
Matej Guid
a
;
Aleksander Sadikov
a
;
Martin Mo?ina
a
;
Dejan Georgiev
b
;
Veronika Kragelj
c
;
Samo Ribari?
c
;
Zvezdan Pirto&scaron
;
ek
b
;
Ivan Bratko
a
关键词:
Argument
-
based
machine
learning
;
Knowledge elicitation
;
Decision support systems
;
Parkinsonian tremor
;
Essential tremor
刊名:Artificial Intelligence in Medicine
出版年:2013
6.
The utility of data-driven feature selection: Re: Chu et al. 2012
作者:
Wesley T. Kerr
;
Pamela K. Douglas
;
Ariana Anderson
;
Mark S. Cohen
关键词:
Feature selection
;
Machine
learning
;
Neuroimaging
刊名:NeuroImage
出版年:1 January, 2014
7.
Variable selection for hedonic model using
machine
learning
approaches: A case study in Onondaga County, NY
作者:
Sanglim Yoo
;
Jungho Im.
;
John E. Wagner
关键词:
Hedonic model
;
Variable selection
;
Machine
learning
;
Cubist
;
Random Forest
;
Environmental amenities
刊名:Landscape and Urban Planning
出版年:2012
8.
Two-phase reanalysis model for understanding user intention
作者:
Sangwoo Kang
a
;
swkang@sogang.ac.kr" class="auth_mail
;
Jungyun Seo
b
关键词:
Natural language processing
;
Dialogue system
;
Machine
learning
;
User intention analysis
刊名:Pattern Recognition Letters
出版年:1 June, 2014
9.
A defeasible reasoning model of inductive concept
learning
from examples and communication
作者:
Santiago Ontañ
;
ó
;
n
a
;
c
;
santi@iiia.csic.es
;
santi@cs.drexel.edu
;
Pilar Dellunde
a
;
b
;
pilar@iiia.csic.es
;
pilar.dellunde@uab.cat
;
Lluí
;
s Godo
a
;
godo@iiia.csic.es
;
Enric Plaza
a
;
enric@iiia.csic.es
关键词:
Induction
;
Logic
;
Argument
ation
;
Machine
learning
;
Concept
learning
刊名:Artificial Intelligence
出版年:2012
10.
Multiclass classification
machine
s with the complexity of a single binary classifier
作者:
Paul Honeine
a
;
paul.honeine@utt.fr
;
Zineb Noumir
a
;
zineb.noumir@utt.fr
;
Cé
;
dric Richard
b
;
cedric.richard@unice.fr
关键词:
Multiclass classification
;
Machine
learning
;
SVM
;
One-versus-all
;
Least-squares classification
刊名:Signal Processing
出版年:2013
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