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Search: subject:"Ensemble Learning"
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Ensemble learning
44
ensemble learning
42
Forecasting model
33
Prognoseverfahren
33
Learning process
26
Lernprozess
26
Theorie
19
Theory
19
Artificial intelligence
18
Künstliche Intelligenz
17
Learning
15
Lernen
15
Neural networks
14
Neuronale Netze
13
Data mining
10
Ensemble Learning
9
Regression analysis
9
Regressionsanalyse
9
Data Mining
8
Forecast
7
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7
machine learning
7
Credit rating
6
Credit risk
6
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6
Kreditwürdigkeit
6
Machine learning
6
deep learning
6
feature selection
6
Estimation theory
5
Feature selection
5
Learning organization
5
Lernende Organisation
5
Schätztheorie
5
boosting
5
Bayes-Statistik
4
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4
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4
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4
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63
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31
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Article
85
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18
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67
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10
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English
85
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18
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Do, Xuan Anh
3
Huck, Nicolas
3
Krauss, Christopher
3
Wang, Shouyang
3
Yu, Lean
3
Bakhshi, Priti
2
Bi, Jian-Wu
2
Daneshvar, Amir
2
Filipović, Damir
2
Hamori, Shigeyuki
2
Kashef, Rasha
2
Kawai, Minami
2
Kessy, Salvatory R.
2
Kume, Takahiro
2
Li, Jianping
2
Murakami, Yuji
2
Prasad, Akhilesh
2
Sherris, Michael
2
Tang, Ling
2
Villegas, Andrés M.
2
Wang, Gang
2
Wang, Shuai
2
Watanabe, Chikara
2
Yang, Shanlin
2
Zhang, Changshui
2
Ziveyi, Jonathan
2
Abedin, Mohammad Zoynul
1
Abualigah, Laith Mohammad Qasim
1
Agapitos, Alexandros
1
Agarwal, Ankur
1
Aggarwal, S.K.
1
Al-Qershi, Osamah M.
1
Aldiabat, Khaled
1
Anyu, Julius N.
1
Arshad, Amina
1
Avanzi, Benjamin
1
BOCK, K. W. DE
1
Baechle, Christopher
1
Bahrami, Parsa
1
Bakalli, Gaetan
1
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Centro de Matemática Aplicada à Previsão e Decisão Económica (CEMAPRE), Instituto Superior de Economia e Gestão (ISEG)
1
Dipartimento di Metodi e modelli per l'economia, il territorio e la finanza (MEMOTEF), Facoltà di Economia
1
Erasmus University Rotterdam, Econometric Institute
1
Faculteit Economie en Bedrijfskunde, Universiteit Gent
1
Faculteit Economie en Bedrijfswetenschappen, Hogeschool-Universiteit Brussel (HUBrussel)
1
Faculteit der Economische Wetenschappen, Erasmus Universiteit Rotterdam
1
Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
1
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Decision analytics journal
7
European journal of operational research : EJOR
4
Energy
3
Research paper series / Swiss Finance Institute
3
Swiss Finance Institute Research Paper
3
Accounting and finance
2
Computational economics
2
Economic modelling
2
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences
2
International journal of production research
2
Journal of Risk and Financial Management
2
Journal of business analytics
2
Journal of business research : JBR
2
Journal of information & knowledge management : JIKM
2
Journal of management analytics
2
Journal of risk and financial management : JRFM
2
Physica A: Statistical Mechanics and its Applications
2
The journal of credit risk : published quarterly by Incisive Media
2
Applied Energy
1
BOK working paper
1
Bulletin of applied economics
1
CEMAPRE Working Papers
1
Computational Management Science : CMS
1
Data Technologies and Applications
1
Decision sciences : DS
1
Econometric Institute Report
1
Econometric Institute Research Papers
1
Economic Modelling
1
Energies
1
Energy economics
1
European journal of marketing
1
FAU Discussion Papers in Economics
1
FAU discussion papers in economics
1
Faculty & research / Insead : working paper series
1
Financial innovation : FIN
1
Information systems and e-business management : ISeB
1
Intelligent systems in accounting, finance & management
1
International Journal of Cognitive Informatics and Natural Intelligence (IJCINI)
1
International Journal on Semantic Web and Information Systems (IJSWIS)
1
International Series in Operations Research & Management Science
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ECONIS (ZBW)
77
RePEc
19
Other ZBW resources
4
EconStor
3
Showing
51
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60
of
103
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51
The trend is your friend : a note on an
ensemble
learning
approach to finding it
Chang, Tzu-pu
;
Chang, Yu-Cheng
;
Chou, Po-Ching
- In:
Bulletin of applied economics
9
(
2022
)
1
,
pp. 19-25
Persistent link: https://www.econbiz.de/10013407279
Saved in:
52
An improved cat swarm search-based deep
ensemble
learning
model for group recommender systems
Roy, Deepjyoti
;
Dutta, Mala
- In:
Journal of information & knowledge management : JIKM
21
(
2022
)
3
,
pp. 1-44
Persistent link: https://www.econbiz.de/10013411146
Saved in:
53
Economic policy uncertainty index meets
ensemble
learning
Lolić, Ivana
;
Sorić, Petar
;
Logarušić, Marija
- In:
Computational economics
60
(
2022
)
2
,
pp. 401-437
Persistent link: https://www.econbiz.de/10013380776
Saved in:
54
A hybrid approach for predicting missing follower–followee links in social networks using topological features with
ensemble
learning
Bhattacharya, Riju
;
Nagwani, Naresh Kumar
;
Tripathi, Sarsij
- In:
Data Technologies and Applications
57
(
2022
)
1
,
pp. 131-153
employing the
Ensemble
Learning
algorithm for FFLP (HMELA) is proposed to advise the formation of new follower links in large … hybrid features on data sets. This was followed by using benchmark classifiers and
ensemble
learning
methods. The experiments …
Persistent link: https://www.econbiz.de/10014712628
Saved in:
55
Ensemble
learning
or deep learning? Application to default risk analysis
Hamori, Shigeyuki
;
Kawai, Minami
;
Kume, Takahiro
; …
- In:
Journal of Risk and Financial Management
11
(
2018
)
1
,
pp. 1-14
three
ensemble-learning
methods-specifically, bagging, random forest, and boosting-with those of various neural …
Persistent link: https://www.econbiz.de/10012611000
Saved in:
56
Ensemble
learning
or deep learning? : application to default risk analysis
Hamori, Shigeyuki
;
Kawai, Minami
;
Kume, Takahiro
; …
- In:
Journal of risk and financial management : JRFM
11
(
2018
)
1
,
pp. 1-14
three
ensemble-learning
methods-specifically, bagging, random forest, and boosting-with those of various neural …
Persistent link: https://www.econbiz.de/10011855150
Saved in:
57
Cascading logistic regression onto gradient boosted decision trees to predict stock market changes using technical analysis
Zhou, Feng
;
Zhang, Qun
;
Sornette, Didier
;
Jiang, Liu
-
2018
In the data mining and machine learning fields, forecasting the direction of price change can be generally formulated as a supervised classfii cation. This paper attempts to predict the direction of daily changes of the Nasdaq Composite Index (NCI) and of the Standard & Poor's 500 Composite...
Persistent link: https://www.econbiz.de/10011900252
Saved in:
58
Ensemble methods for credit scoring of Chinese peer-to-peer loans
Cao, Wei
;
He, Yun
;
Wang, Wenjun
;
Zhu, Weidong
; …
- In:
The journal of credit risk : published quarterly by …
17
(
2021
)
3
,
pp. 79-115
Persistent link: https://www.econbiz.de/10012816917
Saved in:
59
Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction
Tsai, Chih-Fong
;
Sue, Kuen-Liang
;
Hu, Ya-Han
;
Chiu, Andy
- In:
Journal of business research : JBR
130
(
2021
),
pp. 200-209
Persistent link: https://www.econbiz.de/10012544786
Saved in:
60
A machine learning-based analytical framework for employee turnover prediction
Wang, Xinlei
;
Zhi, Jianing
- In:
Journal of management analytics
8
(
2021
)
3
,
pp. 351-370
Persistent link: https://www.econbiz.de/10012622577
Saved in:
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