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Search: subject:"AdaBoost"
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AdaBoost
20
Artificial intelligence
13
Forecasting model
13
Künstliche Intelligenz
13
Prognoseverfahren
13
machine learning
7
Theorie
6
Theory
6
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5
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5
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5
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5
random forest
5
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4
AdaBoost loss function
3
Data Mining
3
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3
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3
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3
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3
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3
adaboost
3
influence function
3
kernel logistic regression
3
robustness
3
sensitivity curve
3
statistical learning
3
student attrition
3
support vector machine
3
total variation
3
AdaBoost algorithm
2
AdaBoost.M1
2
Adaboost
2
China
2
Classification
2
Decaying Convergence Rate
2
Financial analysis
2
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Undetermined
22
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17
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Berens, Johannes
3
Burghoff, Julian
3
Christmann, Andreas
3
Oster, Simon
3
Schneider, Kerstin
3
Steinwart, Ingo
3
Bae, Sangil
2
Chlebus, Marcin
2
Görtz, Simon
2
Jeong, Minsoo
2
Jeyanthi, P. Mary
2
Oberoi, Sarbjit Singh
2
Shrivastava, Santosh Kumar
2
Ai, Wenguo
1
Baek, Jaeseung
1
Baskar, S.
1
Boucher, Jean-Philippe
1
Brygała, Magdalena
1
Cao, Tong
1
Choi, Jaekyung
1
Chuan, Yijian
1
Cortés, Esteban Alfaro
1
Creaer, German
1
Creamer, Germán
1
Deshpande, Amruta
1
Dey, Shubhamoy
1
Dhote, Sunita
1
Duan, Shaodong
1
Dutta, Mala
1
Elangovan, N.
1
Freund, Yoav
1
Gan, Kai
1
Gray, J.
1
Hasan, Yahya Abu
1
Hato, Eiji
1
He, Zhenrui
1
Hung, Wei-Zhan
1
Jain, Arnav
1
Jeong, Myong Kee
1
Jo, Yong Hwan
1
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
1
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Journal of information & knowledge management : JIKM
2
Working papers
2
ASTIN bulletin : the journal of the International Actuarial Association
1
Beiträge zur Jahrestagung des Vereins für Socialpolitik 2018: Digitale Wirtschaft - Session: Education II
1
Business and Economic Research : BER
1
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1
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1
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1
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1
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1
Global Knowledge, Memory and Communication
1
International Advances in Economic Research
1
International journal of financial engineering
1
International journal of production research
1
Inventi impact: microfinance & banking
1
Journal of Asian Scientific Research
1
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1
LogForum : elektroniczne czasopismo naukowe z dziedziny logistyki
1
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Physica A: Statistical Mechanics and its Applications
1
Risk management : a journal of risk, crisis and disaster
1
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1
Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
1
Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
1
The North American journal of economics and finance : a journal of financial economics studies
1
Transportation
1
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ECONIS (ZBW)
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8
EconStor
5
BASE
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1
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11
Credit default prediction of Chinese real estate listed companies based on explainable machine learning
Ma, Yuanyuan
;
Zhang, Pingping
;
Duan, Shaodong
;
Zhang, …
- In:
Finance research letters
58
(
2023
)
1
,
pp. 1-13
Persistent link: https://www.econbiz.de/10014581644
Saved in:
12
Stock index futures price prediction using feature selection and deep learning
Yan, Wan-Lin
- In:
The North American journal of economics and finance : a …
64
(
2023
),
pp. 1-9
Persistent link: https://www.econbiz.de/10014246879
Saved in:
13
Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting
Shrivastava, Santosh Kumar
;
Jeyanthi, P. Mary
;
Oberoi, …
- In:
Cogent Economics & Finance
8
(
2020
)
1
,
pp. 1-17
the bias and over-fitting in the models, random forest and
AdaBoost
techniques are applied and compared with the logistic …
Persistent link: https://www.econbiz.de/10012657573
Saved in:
14
Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting
Shrivastava, Santosh Kumar
;
Jeyanthi, P. Mary
;
Oberoi, …
- In:
Cogent economics & finance
8
(
2020
)
1
,
pp. 1-17
the bias and over-fitting in the models, random forest and
AdaBoost
techniques are applied and compared with the logistic …
Persistent link: https://www.econbiz.de/10012219373
Saved in:
15
Comparison of tree-based models performance in prediction of marketing campaign results using Explainable Artificial Intelligence tools
Chlebus, Marcin
;
Osika, Zuzanna
-
2020
Persistent link: https://www.econbiz.de/10012322146
Saved in:
16
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:
17
A comparative study of demand forecasting models for a multi-channel retail company : a novel hybrid machine learning approach
Mitra, Arnab
;
Jain, Arnav
;
Kishore, Avinash
;
Kumar, Pravin
- In:
Operations research forum
3
(
2022
)
4
,
pp. 1-22
Persistent link: https://www.econbiz.de/10013461968
Saved in:
18
Early Detection of Students at Risk - Predicting Student Dropouts Using Administrative Student Data and Machine Learning Methods
Schneider, Kerstin
;
Berens, Johannes
;
Oster, Simon
; …
-
2018
trees and the
AdaBoost
algorithm to identify student characteristics which distinguish potential dropouts from graduates …
Persistent link: https://www.econbiz.de/10011892049
Saved in:
19
Early Detection of Students at Risk – Predicting Student Dropouts Using Administrative Student Data and Machine Learning Methods
Berens, Johannes
;
Schneider, Kerstin
;
Görtz, Simon
; …
-
2018
uses regression analysis, neural networks, decision trees, and the
AdaBoost
algorithm to identify student characteristics …
Persistent link: https://www.econbiz.de/10011932009
Saved in:
20
Early detection of students at risk : predicting student dropouts using administrative student data and machine learning methods
Berens, Johannes
;
Schneider, Kerstin
;
Görtz, Simon
; …
-
2018
uses regression analysis, neural networks, decision trees, and the
AdaBoost
algorithm to identify student characteristics …
Persistent link: https://www.econbiz.de/10011906290
Saved in:
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