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在“
Elsevier电子期刊
”中,
命中:
387,274
条,耗时:小于0.01 秒
在所有数据库中总计命中:
66
条
1.
Estimation of
select
ed parameters
作者:
Jia-Chiun Pan
a
;
panjc1019@gmail.com
;
Yufen Huang
b
;
yfhuang@math.ccu.edu.tw
;
J.T. Gene Hwang
c
;
hwang@math.cornell.edu
关键词:
Select
ion bias
;
Empirical Bayes approach
;
Estimation of
select
ed parameters
;
Lindley&ndash
;
James&ndash
;
Stein estimation
;
Multiple-shrinkage stein type estimator
;
Efron&ndash
;
Tweedie estimator
刊名:Computational Statistics & Data Analysis
出版年:2017
2.
Granularity
select
ion for cross-validation of SVM
作者:
Yong Liu
;
Shizhong Liao
;
szliao@mail.tju.edu.cn" class="auth_mail" title="E-mail the corresponding author
;
szliao@tju.edu.cn" class="auth_mail" title="E-mail the corresponding author
关键词:
Cross-validation
;
Model
select
ion
;
Fold of cross-validation
;
Granular computing
;
Granularity
select
ion
刊名:Information Sciences
出版年:2017
3.
In silico
select
ion and cell-based characterization of
select
ive and bioactive compounds for androgen-dependent prostate cancer cell
作者:
Elisa C. Santa Cruz
;
Adriel R. Carecho
;
Marta E. Saidel
;
Carlos Alberto Montanari
;
Andrei Leitã
;
o
;
andleitao@iqsc.usp.br
关键词:
ADT
;
androgen deprivation therapy
;
AR
;
androgen receptor
;
LBD
;
ligand binding domain
;
PCa
;
prostate cancer
;
SARM
;
select
ive androgen receptor modulator
;
VS
;
virtual screening
;
SBVS
;
structure-based virtual screening
;
WCRF
;
World Cancer Research Fund International
刊名:Bioorganic & Medicinal Chemistry Letters
出版年:2017
4.
Exploiting the ensemble paradigm for stable feature
select
ion: A case study on high-dimensional genomic data
作者:
Barbara Pes
;
pes@unica.it" class="auth_mail" title="E-mail the corresponding author
;
Nicoletta Dessì
;
dessi@unica.it" class="auth_mail" title="E-mail the corresponding author
;
Marta Angioni
martaangioni@gmail.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Ensemble paradigm
;
Feature
select
ion
;
Data perturbation
;
Select
ion stability
;
High-dimensional genomic data
刊名:Information Fusion
出版年:2017
5.
Feature
select
ion based on measurement of ability to classify subproblems
作者:
Shuqin Wang
a
;
wangshuqin@mail.tjnu.edu.cn
Author Vitae
;
Jinmao Wei
b
;
weijm@nankai.edu.cn
关键词:
Feature
select
ion
;
Discrimination structure complementarity
;
Fisher's discriminant ratio
刊名:Neurocomputing
出版年:2017
6.
Unsupervised feature
select
ion via Diversity-induced Self-representation
作者:
Yanbei Liu
a
;
liuyanbei@tju.edu.cn
Author Vitae
;
Kaihua Liu
a
;
liukaihua@tju.edu.cn
Author Vitae
;
Changqing Zhang
b
;
zhangchangqing@tju.edu.cn
Author Vitae
;
Jing Wang
c
;
jwang@bournemouth.ac.uk
Author Vitae
;
Xiao Wang
d
;
wangxiao_cv@163.com
Author Vitae
关键词:
Unsupervised feature
select
ion
;
Diversity and representativeness
;
Self-representation
;
Redundancy reduction
刊名:Neurocomputing
出版年:2017
7.
Diversification of C. elegans Motor Neuron Identity via
Select
ive Effector Gene Repression
作者:
Sze Yen Kerk
1
;
Paschalis Kratsios
1
;
2
;
pkratsios@uchicago.edu
;
Michael Hart
1
;
Romulo Mourao
1
;
Oliver Hobert
1
;
3
;
or38@columbia.edu
关键词:
neuron diversification
;
motor neuron
;
neuron subtype
;
select
ive repression
;
combinatorial code
;
transcription factor
;
terminal
select
or
;
repressor
;
maintenance
;
C. elegans
刊名:Neuron
出版年:2017
8.
Select
ion for behavior and hemopoiesis in American mink (Neovison vison)
作者:
Aleksandra G. Kizhina
a
;
golubewa81@yandex.ru
;
Lyudmila B. Uzenbaeva
a
;
Victor A. Ilyukha
a
;
Lyudmila I. Trapezova
b
;
Nikolay N. Tyutyunnik
a
;
Oleg V. Trapezov
b
关键词:
leukocytes
;
select
ion
;
domestication
;
aggressiveness
;
hypothalamo&ndash
;
pituitary&ndash
;
adrenocortical system
;
American mink
刊名:Journal of Veterinary Behavior: Clinical Applications and Research
出版年:2017
9.
Quality of service aware antenna
select
ion scheme for multi-hop relay networks
作者:
Arthi Murugadass
a
;
arthimdas@gmail.com
;
Arulmozhivarman Pachiyappan
b
;
Vinoth Babu Kumaravelu
a
;
Emy Mariam George
a
关键词:
Antenna
select
ion
;
Delayed channel quality information (CQI)
;
Multi-hop relay (MHR)
;
Multi input multi output (MIMO)
;
M-ary quadrature amplitude modulation (M-QAM)
;
Symbol error probability (SEP)
刊名:AEU - International Journal of Electronics and Communications
出版年:2017
10.
A novel adaptive feature
select
or for supervised classification
作者:
S. Sasikala
a
;
nithilannsasikala@yahoo.co.in" class="auth_mail" title="E-mail the corresponding author
;
S. Appavu alias Balamurugan
a
;
app_s@yahoo.com" class="auth_mail" title="E-mail the corresponding author
;
S. Geetha
b
;
geethabaalan@gmail.com" class="auth_mail" title="E-mail the corresponding author
关键词:
Medical data mining
;
Biomedical classification
;
Feature
select
ion
;
Genetic algorithm
;
Performance evaluation
刊名:Information Processing Letters
出版年:2017
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