Výsledky vyhledávání - Guelph Cluster Class algorithm

An analysis of semi-supervised learning with the Guelph Cluster Class algorithm

Autoři: Harvey, Neil Stacey, Deborah A. The Atrium at the University of Guelph

Přispěvatelé: Harvey, Neil Stacey, Deborah A. The Atrium at the University of Guelph

Témata: classification, classifier training, Guelph Cluster Class algorithm, clustering

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/10214/21884

SPINEX-clustering: similarity-based predictions with explainable neighbors exploration for clustering problems.

Autoři: Naser, M. Z. Naser, Ahmad Z.

Zdroj: Cluster Computing; Oct2025, Vol. 28 Issue 5, p1-33, 33p

Témata: CLUSTERING algorithms, MACHINE learning, ALGORITHMS, OPTICS, FORECASTING

Real Elliptically Skewed Distributions and Their Application to Robust Cluster Analysis.

Autoři: Schroth, Christian Muma, Michael

Zdroj: IEEE Transactions on Signal Processing; 11/1/2021, p3947-3962, 16p

Témata: CLUSTER analysis (Statistics), SKEWNESS (Probability theory), MAXIMUM likelihood statistics, EXPECTATION-maximization algorithms, ALGORITHMS, DISTRIBUTION (Probability theory)

A Novel Adaptive AI-Based Framework for Node Scheduling Algorithm Selection in Safety-Critical Wireless Sensor Networks.

Autoři: Al-Nader, Issam Raheem, Rand Lasebae, Aboubaker

Zdroj: Electronics (2079-9292); Nov2025, Vol. 14 Issue 21, p4198, 18p

Témata: WIRELESS sensor networks, ARTIFICIAL intelligence, SCHEDULING, OPTIMIZATION algorithms, MACHINE-to-machine communications, SYSTEM safety, NETWORK performance

Enriched Shotgun Sequencing to Assess the Effects of Interventions to Reduce Antimicrobial Use in Neonatal Dairy Calves.

Autoři: Flancman, Rebecca Doster, Enrique Gomez, Diego E. a další

Zdroj: Journal of Veterinary Internal Medicine. Sep2025, Vol. 39 Issue 5, p1-15. 15p.

Machine learning algorithms to identify cluster randomized trials from MEDLINE and EMBASE.

Autoři: Al-Jaishi, Ahmed A. Taljaard, Monica Al-Jaishi, Melissa D. a další

Zdroj: Systematic Reviews; Dec2022, Vol. 11 Issue 1, p1-11, 11p

Barrier-free tomato fruit selection and location based on optimized semantic segmentation and obstacle perception algorithm.

Autoři: Zhou, Lingli Hu, Anqi Cheng, Yawen a další

Zdroj: Frontiers in Plant Science; 2024, p1-18, 18p

Témata: TOMATO harvesting, FRUIT harvesting, COMPUTER vision, K-means clustering, FEATURE extraction

WAREHOUSE LOCATION SELECTION WITH FUZZY C-MEANS METHOD.

Alternate Title: BULANIK C-ORTALAMALAR YÖNTEMİ İLE DEPO YERİ SEÇİMİ. (Turkish)

Autoři: ULU, Mesut

Zdroj: Journal of Management & Economics Research; ara2023, Vol. 21 Issue 4, p102-114, 13p

Témata: CLUSTERING algorithms, WAREHOUSES, COMPETITIVE advantage in business, CUSTOMER satisfaction, FUZZY logic, DECISION making, PRODUCTION planning, WAREHOUSING & storage

2025 ACVIM Forum Research Abstract Program.

Zdroj: Journal of Veterinary Internal Medicine. Nov2025, Vol. 39 Issue 6, p1-193. 193p.

Design of low-carbon planning model for vehicle path based on adaptive multi-strategy ant colony optimization algorithm.

Autoři: Guo, Qi Li, Rui Zheng, Changjiang a další

Zdroj: PeerJ Computer Science; Jan2025, p1-19, 19p

Témata: PARTICLE swarm optimization, ANT algorithms, GRAPH neural networks, SIMULATED annealing, ENERGY consumption

Texture image classification using scale invariant feature transform (SIFT) method.

Autoři: Kaduhm, Haider S. Abduljabbar, Hameed M.

Zdroj: AIP Conference Proceedings; 2023, Vol. 2769 Issue 1, p1-9, 9p

Témata: IMAGE recognition (Computer vision), CLASSIFICATION algorithms, DATABASES, NAIVE Bayes classification, ALGORITHMS

Feature Selection Strategies for Deep Learning-Based Classification in Ultra-High-Dimensional Genomic Data.

Autoři: Kotlarz, Krzysztof Słomian, Dawid Zawadzka, Weronika a další

Zdroj: International Journal of Molecular Sciences; Aug2025, Vol. 26 Issue 16, p7961, 16p

Témata: FEATURE selection, DEEP learning, BIG data, CONVOLUTIONAL neural networks, MATHEMATICAL optimization, SINGLE nucleotide polymorphisms, GENOMICS, CLASSIFICATION

Hybrid Consensus Mechanisms in Blockchain: A Comprehensive Review.

Autoři: Al-awamy, Ali Ahmed Al-shaibany, Nagi Sikora, Axel a další

Zdroj: International Journal of Intelligent Systems; 5/10/2025, p1-31, 31p

Témata: BLOCKCHAINS, ARCHITECTURAL design, FAULT tolerance (Engineering), RESEARCH personnel, ALGORITHMS

N-reference, M-state coupled-cluster method: Merging the state-universal and reduced multireference coupled-cluster theories.

Autoři: Xiangzhu Li Josef Paldus

Zdroj: Journal of Chemical Physics; 9/15/2003, Vol. 119 Issue 11, p5334, 12p, 10 Charts, 1 Graph

Témata: CLUSTER analysis (Statistics), ALGORITHMS, WAVE functions

Anomalous latitudinal gradients in parasitoid wasp diversity—Hotspots in regions with larger temperature range.

Autoři: Castellanos‐Labarcena, Jessica Steinke, Dirk Adamowicz, Sarah J.

Zdroj: Journal of Animal Ecology. Mar2025, Vol. 94 Issue 3, p410-422. 13p.

YOLOAPPLE: Augment Yolov3 deep learning algorithm for apple fruit quality detection.

Autoři: Karthikeyan, M. Subashini, T. S. Srinivasan, R. a další

Zdroj: Signal, Image & Video Processing; Feb2024, Vol. 18 Issue 1, p119-128, 10p

Population mobility, well-mixed clustering and disease spread: a look at COVID-19 Spread in the United States and preventive policy insights.

Autoři: Lyver, David Nica, Mihai Cot, Corentin a další

Zdroj: Mathematical Biosciences & Engineering; 2024, Vol. 21 Issue 4, p1-30, 30p

A partial EM algorithm for model-based clustering with highly diverse missing data patterns.

Autoři: Browne, Ryan P. McNicholas, Paul D. Findlay, Christopher J.

Zdroj: Stat; Dec2022, Vol. 11 Issue 1, p1-10, 10p

Témata: MISSING data (Statistics), EXPECTATION-maximization algorithms, GAUSSIAN mixture models, DATA distribution

An empirical attempt to identify binge gambling utilizing account-based player tracking data.

Autoři: Auer, Michael Griffiths, Mark D.

Zdroj: Addiction Research & Theory; Aug2024, Vol. 32 Issue 4, p264-273, 10p

Témata: HABIT, COMPULSIVE behavior, RISK-taking behavior, CLUSTER analysis (Statistics), EMPIRICAL research, INTERVIEWING, GAMBLING, INTERNET, DESCRIPTIVE statistics, SURVEYS, SOCIODEMOGRAPHIC factors

Geografický termín: UNITED Kingdom

The use of unlabelled data for supervised learning

Autoři: Dara, Rozita Stacey, Deborah A. Kremer, Stefan C. a další

Přispěvatelé: Dara, Rozita Stacey, Deborah A. Kremer, Stefan C. a další

Témata: supervised learning algorithm, classification, Guelph Cluster Class, unsupervised network, train, Self-Organizing Map, unlabelled data, labelled data

Popis souboru: application/pdf

Přístupová URL adresa: https://hdl.handle.net/10214/20545