Results 61 to 70 of about 414,017 (186)

Exact bootstrap k-nearest neighbor learners [PDF]

Machine Learning, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Text intelligent classification model based on improved KNN algorithm in library service transformation

Systems and Soft Computing
With the development of the digital age, library services are facing the challenge of fast and accurate text classification. The traditional K-nearest neighbor algorithm is limited by low classification efficiency and high computational complexity when ...
Changjun Wang, Fengxia You, Yu Wang
doaj   +1 more source

Population Synthesis via k-Nearest Neighbor Crossover Kernel

, 2015
The recent development of multi-agent simulations brings about a need for population synthesis. It is a task of reconstructing the entire population from a sampling survey of limited size (1% or so), supplying the initial conditions from which ...
Hamada, Naoki, Higuchi, Hiroyuki, Homma, Katsumi, Kikuchi, Hideyuki   +3 more
core   +1 more source

Alternative methods for forecasting GDP [PDF]

An empirical forecast accuracy comparison of the non-parametric method, known as multivariate Nearest Neighbor method, with parametric VAR modelling is conducted on the euro area GDP. Using both methods for nowcasting and forecasting the GDP, through the
Dominique Guegan, Patrick Rakotomarolahy
core  

Shortest path distance in random k-nearest neighbor graphs [PDF]

, 2012
Consider a weighted or unweighted k-nearest neighbor graph that has been built on n data points drawn randomly according to some density p on R^d. We study the convergence of the shortest path distance in such graphs as the sample size tends to infinity.
Alamgir, Morteza, von Luxburg, Ulrike
core   +1 more source

Graphene, Lattice QFT and Symmetries

, 2011
Borrowing ideas from tight binding model, we propose a board class of Lattice QFT models that are classified by the ADE Lie algebras. In the case of su(N) series, we show that the couplings between the quantum states living at the first nearest neighbor ...
Bousmina, M., Drissi, L. B, Saidi, E. H
core   +1 more source

k-Nearest Neighbor Curves in Imaging Data Classification

Frontiers in Applied Mathematics and Statistics, 2019
Background: Lung disease quantification via medical image analysis is classically difficult. We propose a method based on normalized nearest neighborhood distance classifications for comparing individual CT scan air-trapping distributions (representing ...
Yann Cabon, Yann Cabon, Carey Suehs, Carey Suehs, Sébastien Bommart, Sébastien Bommart, Isabelle Vachier, Isabelle Vachier, Gregory Marin, Arnaud Bourdin, Arnaud Bourdin, Nicolas Molinari, Nicolas Molinari   +12 more
doaj   +1 more source

Information Retrieval Document Classified with K-Nearest Neighbor

Record and Library Journal, 2018
Along with the rapid advancement of technology development led to the amount of information available is also increasingly abundant. The aim of this study was to determine how the implementation of information retrieval system in the classification of ...
Alifian Sukma, Badruz Zaman, Endah Purwanti   +2 more
doaj   +1 more source

K-Nearest Neighbor and Weight K-Nearest Neighbor Classification of Cork Fish Using Gray-Level-Co-Occurrence Matrix Algorithm Approach

JOIV: International Journal on Informatics Visualization
Ornamental cork fish is a type of fish that is in great demand among the public as an ornamental fish. Ornamental cork fish have various types and colors; each variation has its own name and is a selling point among ornamental cork fish lovers.
Euis Nur Fitriani Dewi, Andi Nur Rachman, Rahmi Nur Shofa, Genta Nazwar Tarempa   +3 more
doaj   +1 more source

Application of Data Mining for Tuberculosis Disease Classification Using K-Nearest Neighbor

Jurnal Sisfokom
This study aims to find out how much the application of the K-NN method and the accuracy value obtained by the K-NN method in clarifying data of Tuberculosis patients. This research focuses on improving public health and developing science to help people
Delima Sitanggang, lamria Simangunsong, Geertruida Frederika Sundah, Rani Hutahaean, Indren Indren   +4 more
doaj   +1 more source