Search Results - "Computing methodologies Machine learning Learning paradigms Supervised learning"

Identifying Earmarks in Congressional Bills

Authors: Mullane, Marianne J Barnett, Timothy C. Cannon, Jeffrey W. et al.

Subject Terms: Computing methodologies -- Artificial intelligence -- Natural language processing, Computing methodologies -- Machine learning -- Learning paradigms -- Supervised learning, Information systems -- Information retrieval -- Retrieval tasks and goals -- Information extraction

Relation: ispartof: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining spage 303 epage 311; WOS:000485529800037; 991005637963707891; alma:61MUN_INST/bibs/991005637963707891

Availability: https://doi.org/10.1145/2939672.2939711
https://researchportal.murdoch.edu.au/esploro/outputs/conferenceProceeding/Identifying-Earmarks-in-Congressional-Bills/991005637963707891

Enabling Social Robots to Perceive and Join Socially Interacting Groups Using F-formation: A Comprehensive Overview.

Authors: Barua, Hrishav Bakul Mg, Theint Haythi Pramanick, Pradip et al.

Source: ACM Transactions on Human-Robot Interaction; Dec2024, Vol. 13 Issue 4, p1-48, 48p

Subject Terms: SOCIAL group work, HUMAN-robot interaction, ARTIFICIAL intelligence, GROUP formation, COMPUTER vision

Towards Domain-Aware Stable Meta Learning for Out-of-Distribution Generalization.

Authors: Sun, Mingchen Li, Yingji Wang, Ying et al.

Source: ACM Transactions on Knowledge Discovery from Data; Sep2024, Vol. 18 Issue 8, p1-24, 24p

Subject Terms: MACHINE learning, GENERALIZATION, LEARNING

Constructive Preference Elicitation over Hybrid Combinatorial Spaces

Authors: Dragone, Paolo Teso, Stefano Passerini, Andrea

Index Terms: Computer Science - Artificial Intelligence, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1711.07875

Optimization frameworks for machine learning: Examples and case study.

Authors: Giesen, Joachim Laue, Sören Mitterreiter, Matthias

Source: IT: Information Technology; May2020, Vol. 62 Issue 3, p169-180, 12p

Subject Terms: MACHINE learning, SUPERVISED learning, MATHEMATICAL optimization

C4.5 Decision Tree Algorithm for Spatial Data, Alternatives and Performances.

Authors: Oujdi, Sihem Belbachir, Hafida Boufares, Faouzi

Source: Journal of Computing & Information Technology; 2019, Vol. 27 Issue 3, p29-43, 15p

Subject Terms: DECISION trees, CLASSIFICATION algorithms, DATA mining, ALGORITHMS, GEOGRAPHIC spatial analysis, TRAFFIC accidents, DECISION support systems

A Shapelet Transform Classification over Uncertain Time Series.

Authors: Ruizhe Ma Liangli Zuo Li Yan

Source: Journal of Computing & Information Technology; 2019, Vol. 27 Issue 3, p15-28, 14p

Subject Terms: TIME series analysis, UNCERTAIN systems, CLASSIFICATION, TIME management

Non-invasive Glaucoma Screening Using Ocular Thermal Image Classification.

Authors: Nammalwar, Padmapriya Narasimhan, Venkateswaran Kannan, Toshita et al.

Source: Journal of Computing & Information Technology; 2017, Vol. 25 Issue 3, p227-236, 10p

Subject Terms: THERMAL imaging cameras, RETINAL imaging, GLAUCOMA diagnosis, SUPPORT vector machines, THERMOGRAPHY

An Intelligent Augmented Reality Training Framework for Neonatal Endotracheal Intubation.

Authors: Zhao S Xiao X Wang Q et al.

Source: International Symposium on Mixed and Augmented Reality : (ISMAR) [proceedings]. IEEE and ACM International Symposium on Mixed and Augmented Reality [Int Symp Mix Augment Real] 2020 Nov; Vol. 2020, pp. 672-681. Date of Electronic Publication: 2020 Dec 14.

Publication Type: Journal Article

Journal Info: Publisher: [IEEE Computer Society] Country of Publication: United States NLM ID: 101718336 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2473-0726 (Electronic) Linking ISSN: 15547868 NLM ISO Abbreviation: Int Symp Mix Augment Real Subsets: PubMed not MEDLINE