Suchergebnisse - "Wrapper feature selection algorithm"

Double Filter and Double Wrapper Feature Selection Algorithm for High-Dimensional Data Analysis

Autoren: Hong Chen Yuefeng Zheng

Quelle: IEEE Access, Vol 13, Pp 86185-86202 (2025)

Schlagwörter: ReliefF, differential evolution, Feature selection, Pearson correlation coefficient, Electrical engineering. Electronics. Nuclear engineering, whale optimization algorithm, TK1-9971

Zugangs-URL: https://doaj.org/article/8831c4064f19456ea07124d3db83d207

Towards a Lightweight Detection System Leveraging Ranking Techniques with Wrapper Feature Selection Algorithm for Selective Forwarding Attacks in Low power and Lossy Networks of IoTs

Autoren: Taief Alaa Al-Amiedy Mohammed Anbar Bahari Belaton et al.

Quelle: 2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA). :1-17

A Wrapper Feature Selection Algorithm: An Emotional Assessment Using Physiological Recordings from Wearable Sensors

Autoren: Mohino-Herranz, Inma Gil-Pita, Roberto Garcia-Gomez, Joaquin et al.

Quelle: Sensors. 20(1)

Schlagwörter: emotional assessment, physiological signal, feature selection

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-24879
https://doi.org/10.3390/s20010309

Algoritmo do Tipo Filter-Wrapper de Seleção de Features para Utilização na Seleção de Genes

Filter-Wrapper Feature Selection Algorithm for Gene Selection

Autoren: Fernandes, Carlos André Ferreira Santos

Schlagwörter: Seleção de genes de Microarrays, Importância de genes, Seleção de features, Microarray gene selection, Gene importance, Feature selection

Verfügbarkeit: https://hdl.handle.net/10316/83219

Road traffic accident determinant factor identification in case of East Gojjam, Ethiopia using wrapper feature selection algorithm

Autoren: Mequanent Degu Belete Girma Kassa Alitasb Samuel Nibretu et al.

Quelle: African Transport Studies. 3:100018

New Wrapper Feature Selection Algorithm for Anomaly-Based Intrusion Detection Systems

Autoren: David Espes Meriem Kherbache Kamal Amroun

Quelle: Lecture Notes in Computer Science ISBN: 9783030708801

Zugangs-URL: https://link.springer.com/chapter/10.1007/978-3-030-70881-8_1
https://link.springer.com/content/pdf/10.1007%2F978-3-030-70881-8_1.pdf
https://dblp.uni-trier.de/db/conf/fps/fps2020.html#KherbacheEA20
https://rd.springer.com/chapter/10.1007/978-3-030-70881-8_1

Wrapper Feature Selection Algorithm for the Optimization of an Indicator System of Patent Value Assessment

Autoren: Qiu, Yihui Zhang, Chiyu

Index Begriffe: Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2001.08371

A Wrapper Feature Selection Algorithm Based on Brain Storm Optimization

Autoren: Yong Zhang Hai-rong Gao Xu-tao Zhang et al.

Quelle: Communications in Computer and Information Science ISBN: 9789811328282

Zugangs-URL: https://link.springer.com/chapter/10.1007/978-981-13-2829-9_28
https://rd.springer.com/chapter/10.1007/978-981-13-2829-9_28
https://dblp.uni-trier.de/db/conf/bic-ta/bic-ta2018-2.html#ZhangZGH18

A classification system based on a new wrapper feature selection algorithm for the diagnosis of primary and secondary polycythemia

Autoren: Vasileios Ch. Korfiatis Konstantinos K. Delibasis Pantelis A. Asvestas et al.

Quelle: Computers in Biology and Medicine. 43:2118-2126

Schlagwörter: Adult, Male, Support Vector Machine, 0202 electrical engineering, electronic engineering, information engineering, Humans, Female, Diagnosis, Computer-Assisted, Polycythemia, 02 engineering and technology, Middle Aged, Aged

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/24290929
https://dblp.uni-trier.de/db/journals/cbm/cbm43.html#KorfiatisADM13
https://core.ac.uk/display/132812191
http://www.sciencedirect.com/science/article/pii/S0010482513002679
https://europepmc.org/article/MED/24290929
https://www.ncbi.nlm.nih.gov/pubmed/24290929
https://www.sciencedirect.com/science/article/pii/S0010482513002679

Session 6: Algorithm and simulation A hybrid filter-wrapper feature selection algorithm for SVM classification and its application to credit risk analysis

Autoren: W.Z. Zhang J.Y. Yang J. Chen

Quelle: Control Engineering and Information Systems ISBN: 9780429226632

Zugangs-URL: https://www.taylorfrancis.com/books/e/9780429226632/chapters/10.1201/b17732-140
https://content.taylorfrancis.com/books/download?dac=C2014-1-31649-2&isbn=9780429226632&doi=10.1201/b17732-140&format=pdf

A novel wrapper feature selection algorithm based on iterated greedy metaheuristic for sentiment classification

Autoren: Osman Gokalp Erdal Tasci Aybars Ugur

Quelle: Expert Systems with Applications. 146:113176

Schlagwörter: Sentiment classification, Feature selection, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Metaheuristic, 02 engineering and technology, Iterated greedy

Zugangs-URL: https://www.sciencedirect.com/science/article/pii/S0957417420300026
https://avesis.ege.edu.tr/yayin/74bc50cc-6477-4c0c-b5b7-b0cc64d74ff1/a-novel-wrapper-feature-selection-algorithm-based-on-iterated-greedy-metaheuristic-for-sentiment-classification
https://dblp.uni-trier.de/db/journals/eswa/eswa146.html#GokalpTU20
https://hdl.handle.net/11454/62380
https://doi.org/10.1016/j.eswa.2020.113176

A hybrid filter-wrapper feature selection algorithm for SVM classification and its application to credit risk analysis

Autoren: Zhang, W.Z. Yang, J.Y. Chen, J. et al.

Weitere Verfasser: Zhang, W.Z. Yang, J.Y. Chen, J. et al.

Quelle: EI

Relation: International Conference on Control Engineering and Information System, ICCEIS 2014.Yueyang, Hunan, China,2015/1/1.; 1327519; http://hdl.handle.net/20.500.11897/423676

Verfügbarkeit: https://hdl.handle.net/20.500.11897/423676

Algoritmo do Tipo Filter-Wrapper de Seleção de Features para Utilização na Seleção de Genes ; Filter-Wrapper Feature Selection Algorithm for Gene Selection

Autoren: Fernandes, Carlos André Ferreira Santos Araújo, Rui Alexandre de Matos

Weitere Verfasser: Fernandes, Carlos André Ferreira Santos Araújo, Rui Alexandre de Matos

Schlagwörter: Seleção de genes de Microarrays, Importância de genes, Seleção de features, Microarray gene selection, Gene importance, Feature selection

Relation: https://hdl.handle.net/10316/83219; 202121496

Verfügbarkeit: https://hdl.handle.net/10316/83219

Network Security Situational Awareness Based on Improved Particle Swarm Algorithm and Bidirectional Long Short-Term Memory Modeling.

Autoren: Zheng, Peng Cheng, Yun Zhu, Wei et al.

Quelle: Applied Sciences (2076-3417); Feb2025, Vol. 15 Issue 4, p2082, 17p

Schlagwörter: LONG short-term memory, INFORMATION technology, NEURAL computers, SITUATIONAL awareness, FEATURE selection

Forecasting dengue in Bangladesh using meteorological variables with a novel feature selection approach.

Autoren: Al Mobin, Mahadee

Quelle: Scientific Reports; 12/30/2024, Vol. 14 Issue 1, p1-24, 24p

Schlagwörter: MACHINE learning, MOSQUITO-borne diseases, FEATURE selection, TIME series analysis, DEVELOPING countries

Feature selection for intrusion detection based on an improved rime optimization algorithm.

Autoren: Peng, Qingyuan Wang, Xiaofeng Tang, Ao

Quelle: Molecular & Cellular Biomechanics; 2024, Vol. 21 Issue 3, p1-20, 20p

Schlagwörter: INTRUSION detection systems (Computer security), FEATURE selection, OPTIMIZATION algorithms, CLASSIFICATION, DATA structures, INTERNET security

Multi-Objective Equilibrium Optimizer for Feature Selection in High-Dimensional English Speech Emotion Recognition.

Autoren: Liya Yue Pei Hu Shu-Chuan Chu et al.

Quelle: Computers, Materials & Continua; 2024, Vol. 78 Issue 2, p1957-1975, 19p

Schlagwörter: EMOTION recognition, FEATURE selection, ENGLISH language, K-nearest neighbor classification, RANDOM forest algorithms, EQUILIBRIUM

Characterization of threats in IoT from an MQTT protocol-oriented dataset.

Autoren: Muñoz Castañeda, Ángel Luis Mata, José Antonio Aveleira Aláiz-Moretón, Héctor

Quelle: Complex & Intelligent Systems; Oct2023, Vol. 9 Issue 5, p5281-5296, 16p

Schlagwörter: MACHINE learning, COMPUTER network traffic, FEATURE selection, INTERNET of things, INTRUSION detection systems (Computer security)

A feature selection model for speech emotion recognition using clustering-based population generation with hybrid of equilibrium optimizer and atom search optimization algorithm.

Autoren: Chattopadhyay, Soham Dey, Arijit Singh, Pawan Kumar et al.

Quelle: Multimedia Tools & Applications; Mar2023, Vol. 82 Issue 7, p9693-9726, 34p

Schlagwörter: FEATURE selection, EMOTION recognition, AUTOMATIC speech recognition, MACHINE learning, ARTIFICIAL intelligence, SEARCH algorithms

Hybrid PSO feature selection-based association classification approach for breast cancer detection.

Autoren: Sowan, Bilal Eshtay, Mohammed Dahal, Keshav et al.

Quelle: Neural Computing & Applications; Mar2023, Vol. 35 Issue 7, p5291-5317, 27p

Schlagwörter: FEATURE selection, BREAST cancer, EARLY detection of cancer, PARTICLE swarm optimization, CANCER diagnosis, TUMOR classification