The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction (Englisch)
- Neue Suche nach: Hu, Ruihan
- Neue Suche nach: Huang, Qijun
- Neue Suche nach: Chang, Sheng
- Neue Suche nach: Wang, Hao
- Neue Suche nach: He, Jin
- Neue Suche nach: Hu, Ruihan
- Neue Suche nach: Huang, Qijun
- Neue Suche nach: Chang, Sheng
- Neue Suche nach: Wang, Hao
- Neue Suche nach: He, Jin
In:
Applied Intelligence
;
49
, 8
; 2942-2955
;
2019
-
ISSN:
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction
-
Beteiligte:Hu, Ruihan ( Autor:in ) / Huang, Qijun ( Autor:in ) / Chang, Sheng ( Autor:in ) / Wang, Hao ( Autor:in ) / He, Jin ( Autor:in )
-
Erschienen in:Applied Intelligence ; 49, 8 ; 2942-2955
-
Verlag:
- Neue Suche nach: Springer US
- Neue Suche nach: Springer Science + Business Media B.V
-
Erscheinungsort:Dordrecht [u.a.]
-
Erscheinungsdatum:2019
-
ISSN:
-
ZDBID:
-
DOI:
-
Medientyp:Aufsatz (Zeitschrift)
-
Format:Elektronische Ressource
-
Sprache:Englisch
- Neue Suche nach: 54.72$jKünstliche Intelligenz / 30.20 / 30.20$jNichtlineare Dynamik / 54.72
- Weitere Informationen zu Basisklassifikation
-
Schlagwörter:
-
Klassifikation:
BKL: 54.72$jKünstliche Intelligenz / 30.20 Nichtlineare Dynamik / 30.20$jNichtlineare Dynamik / 54.72 Künstliche Intelligenz -
Datenquelle:
Inhaltsverzeichnis – Band 49, Ausgabe 8
Zeige alle Jahrgänge und Ausgaben
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
- 2807
-
Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristicsLopez-Garcia, Pedro / Masegosa, Antonio D. / Osaba, Eneko / Onieva, Enrique / Perallos, Asier et al. | 2019
- 2823
-
A novel multi-featured metric for adaptive routing in mobile ad hoc networksHasdemir, Songul / Yilmaz, Selim / Sen, Sevil et al. | 2019
- 2842
-
Fraud detection for job placement using hierarchical clusters-based deep neural networksKim, Jeongrae / Kim, Han-Joon / Kim, Hyoungrae et al. | 2019
- 2862
-
A grouping particle swarm optimizerZhao, Xiaorong / Zhou, Yuren / Xiang, Yi et al. | 2019
- 2874
-
A novel multi-step reinforcement learning method for solving reward hackingYuan, Yinlong / Yu, Zhu Liang / Gu, Zhenghui / Deng, Xiaoyan / Li, Yuanqing et al. | 2019
- 2889
-
A filter-based bare-bone particle swarm optimization algorithm for unsupervised feature selectionZhang, Yong / Li, Hai-Gang / Wang, Qing / Peng, Chao et al. | 2019
- 2899
-
Replay and key-events detection for sports video summarization using confined elliptical local ternary patterns and extreme learning machineJaved, Ali / Irtaza, Aun / Khaliq, Yasmeen / Malik, Hafiz / Mahmood, Muhammad Tariq et al. | 2019
- 2918
-
MCDMSR: multicriteria decision making selection/replacement based on agility strategy for real optimization problemsZhang, HongGuang / Wang, Rui / Liu, HuaJian / Luo, Han / Liu, Yuanan et al. | 2019
- 2942
-
The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty predictionHu, Ruihan / Huang, Qijun / Chang, Sheng / Wang, Hao / He, Jin et al. | 2019
- 2956
-
Sample awareness-based personalized facial expression recognitionLi, Huihui / Wen, Guihua et al. | 2019
- 2970
-
Research on CTR prediction based on stacked autoencoderWang, Qianqian / Liu, Fang’ai / Xing, Shuning / Zhao, Xiaohui et al. | 2019
- 2982
-
Applying uncertain frequent pattern mining to improve ranking of retrieved imagesLiaqat, Madiha / Khan, Sharifullah / Younis, Muhammad Shahzad / Majid, Muhammad / Rajpoot, Kashif et al. | 2019
- 3002
-
A hybrid modelling method for time series forecasting based on a linear regression model and deep learningXu, Wenquan / Peng, Hui / Zeng, Xiaoyong / Zhou, Feng / Tian, Xiaoying / Peng, Xiaoyan et al. | 2019
- 3016
-
Bidirectional LSTM Malicious webpages detection algorithm based on convolutional neural network and independent recurrent neural networkWang, Huan-huan / Yu, Long / Tian, Sheng-wei / Peng, Yong-fang / Pei, Xin-jun et al. | 2019
- 3027
-
Feature selection for multi-label learning with missing labelsWang, Chenxi / Lin, Yaojin / Liu, Jinghua et al. | 2019
- 3043
-
Unsupervised privacy-enhancement of face representations using similarity-sensitive noise transformationsTerhörst, Philipp / Damer, Naser / Kirchbuchner, Florian / Kuijper, Arjan et al. | 2019
- 3061
-
A projection wavelet weighted twin support vector regression and its primal solutionWang, Lidong / Gao, Chuang / Zhao, Nannan / Chen, Xuebo et al. | 2019
- 3082
-
Learning representative features via constrictive annular loss for image classificationLiu, Jun-Bo / Huang, Ya-Ping / Zou, Qi / Wang, Sheng-Chun et al. | 2019
- 3093
-
A quantum-inspired sentiment representation model for twitter sentiment analysisZhang, Yazhou / Song, Dawei / Zhang, Peng / Li, Xiang / Wang, Panpan et al. | 2019
- 3109
-
Multi-view learning with fisher kernel and bi-bagging for imbalanced problemWang, Zhe / Zhu, Yiwen / Chen, Zhaozhi / Zhang, Jing / Du, Wenli et al. | 2019
- 3123
-
EnSWF: effective features extraction and selection in conjunction with ensemble learning methods for document sentiment classificationKhan, Jawad / Alam, Aftab / Hussain, Jamil / Lee, Young-Koo et al. | 2019
- 3146
-
Collaborative filtering recommendation algorithm integrating time windows and rating predictionsZhang, Pengfei / Zhang, Zhijun / Tian, Tian / Wang, Yigui et al. | 2019