Suchergebnisse - "Semi-supervised learning algorithm"

Laser Point Cloud-Image Fusion Technology for Intelligent Driving Vehicles Based on Semi-Supervised Learning Algorithm

Autoren: Jianping Lan Xiujuan Dong

Quelle: IEEE Access, Vol 12, Pp 132664-132676 (2024)

Schlagwörter: 3D object detection, camera-LiDAR system, Electrical engineering. Electronics. Nuclear engineering, image fusion, laser point cloud, Semi-supervised learning algorithm, TK1-9971

Zugangs-URL: https://doaj.org/article/aad9ccf6dbb24155affa1592de70a572

KISL: knowledge-injected semi-supervised learning for biological co-expression network modules

Autoren: Gangyi Xiao Renchu Guan Yangkun Cao et al.

Quelle: Front Genet
Frontiers in Genetics, Vol 14 (2023)

Schlagwörter: feature selection, network modules identification, biological co-expression network, semi-supervised learning algorithm, Genetics, factor analysis, QH426-470, 3. Good health

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37205122
https://doaj.org/article/b0d48a27065741cf94140e75d9f81984

PerioClust: A Simple Hierarchical Agglomerative Clustering Approach Including Constraints

Autoren: Bellanger, Lise Coulon, Arthur Husi, Philippe et al.

Weitere Verfasser: Bellanger, Lise Coulon, Arthur Husi, Philippe et al.

Quelle: Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783030601034

Schlagwörter: [STAT]Statistics [stat], [SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory, [SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory, non-strict constrained approach, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], weighted average distance, cophenetic matrix, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], Semi-supervised learning algorithm, hierarchical agglomerative clustering, [STAT] Statistics [stat]

Zugangs-URL: https://link.springer.com/chapter/10.1007/978-3-030-60104-1_1
https://hal.archives-ouvertes.fr/hal-02952538
https://link.springer.com/content/pdf/10.1007%2F978-3-030-60104-1_1.pdf
https://hal.science/hal-02952538v1

PerioClust: a simple hierarchical agglomerative clustering approach including constraints

Autoren: Bellanger, Lise Coulon, Arthur Husi, Philippe et al.

Weitere Verfasser: Bellanger, Lise Coulon, Arthur Husi, Philippe et al.

Quelle: Data Analysis, and Rationality in a Complex World ; https://hal.science/hal-02952538 ; Springer. Data Analysis, and Rationality in a Complex World, XXIII, 2020, Springer Series “Studies in Classification, Data Analysis and knowledge Organization", 978-3-030-60104-1

Schlagwörter: weighted average distance, cophenetic matrix, hierarchical agglomerative clustering, non-strict constrained approach, Semi-supervised learning algorithm, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory, [STAT]Statistics [stat]

Verfügbarkeit: https://hal.science/hal-02952538

A semi-supervised spam mail detector

Autoren: Pfahringer, Bernhard

Quelle: Discovery Challenge Workshop

Schlagwörter: computer science, Spam classification, semi-supervised learning algorithm, Machine learning

Geographisches Schlagwort: Germany

Time: Conference held at Berlin, Germany

Dateibeschreibung: application/pdf

Relation: http://www.ecmlpkdd2006.org/challenge.html; https://hdl.handle.net/10289/1482

Verfügbarkeit: https://hdl.handle.net/10289/1482