Evolving nearest neighbor time series forecasters
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-017-2822-1
Abstract: This article proposes a nearest neighbors—differential evolution (NNDE) short-term forecasting technique. The values for the parameters time delay $$\tau $$τ, embedding dimension m, and neighborhood size $$\epsilon $$ϵ, for nearest neighbors forecasting, are optimized using… read more here.
Keywords: time series; nearest neighbors; time; differential evolution ... See more keywords
Probabilistic energy forecasting using the nearest neighbors quantile filter and quantile regression
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2019.06.003
Abstract: Parametric quantile regression is a useful tool for obtaining probabilistic energy forecasts. Nonetheless, traditional quantile regressions may be complicated to obtain using complex data mining techniques (e.g., artificial neural networks), since they are trained using… read more here.
Keywords: probabilistic energy; quantile regression; energy; nearest neighbors ... See more keywords
Optical solitons in multiple-core couplers with the nearest neighbors linear coupling
Sign Up to like & getrecommendations! Published in 2017 at "Optik"
DOI: 10.1016/j.ijleo.2017.06.002
Abstract: Abstract This paper addresses a type of nonlinear directional optical couplers with four different forms, namely the Kerr law, power law, parabolic law and dual-power law. The multiple-core couplers with the nearest neighbors linear coupling… read more here.
Keywords: linear coupling; multiple core; nearest neighbors; core couplers ... See more keywords
Interactions beyond nearest neighbors in a periodic structure: Force analysis
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Solids and Structures"
DOI: 10.1016/j.ijsolstr.2020.04.014
Abstract: Abstract Periodic structures are a type of metamaterial in which physical properties depend not only on the constituents of the unit cell but also on how the unit cells are arranged and interact with each… read more here.
Keywords: unit; analysis; nearest neighbors; wave propagation ... See more keywords
A local density-based approach for outlier detection
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.02.039
Abstract: A local density-based approach for outlier detection is proposed.The theoretical properties of the proposed outlierness score are derived.Three types of nearest neighbors are presented. This paper presents a simple and effective density-based outlier detection approach… read more here.
Keywords: nearest neighbors; density; outlier detection; density based ... See more keywords
Speeding up k-Nearest Neighbors classifier for large-scale multi-label learning on GPUs
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.06.095
Abstract: Abstract Multi-label classification is one of the most dynamically growing fields of machine learning, due to its numerous real-life applications in solving problems that can be described by multiple labels at the same time. While… read more here.
Keywords: nearest neighbors; label; large scale; multi label ... See more keywords
Monte Carlo study of a ferrimagnetic mixed-spin (2, 5/2) system with the nearest and next-nearest neighbors exchange couplings
Sign Up to like & getrecommendations! Published in 2017 at "Superlattices and Microstructures"
DOI: 10.1016/j.spmi.2017.04.004
Abstract: Abstract In this paper, the effects of the next-nearest neighbors exchange couplings on the magnetic and thermal properties of the ferrimagnetic mixed-spin (2, 5/2) Ising model on a 3D honeycomb lattice have been investigated by… read more here.
Keywords: neighbors exchange; nearest neighbors; exchange couplings; next nearest ... See more keywords
Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science
Sign Up to like & getrecommendations! Published in 2020 at "Journal of applied probability"
DOI: 10.1017/jpr.2020.21
Abstract: If we pick n random points uniformly in [0, 1] d and connect each point to its c d log n-nearest neighbors, where d ≥ 2 is the dimension and c d is a constant… read more here.
Keywords: near neighbor; nearest neighbors; data science; randomized near ... See more keywords
A Novel Hybrid Model for Predicting Blast-Induced Ground Vibration Based on k-Nearest Neighbors and Particle Swarm Optimization
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-50262-5
Abstract: In this scientific report, a new technique of artificial intelligence which is based on k-nearest neighbors (KNN) and particle swarm optimization (PSO), named as PSO-KNN, was developed and proposed for estimating blast-induced ground vibration (PPV).… read more here.
Keywords: blast; pso knn; nearest neighbors; pso ... See more keywords
Analytic solution of the two-star model with correlated degrees.
Sign Up to like & getrecommendations! Published in 2021 at "Physical review. E"
DOI: 10.1103/physreve.104.014147
Abstract: Exponential random graphs are important to model the structure of real-world complex networks. Here we solve the two-star model with degree-degree correlations in the sparse regime. The model constraints the average correlation between the degrees… read more here.
Keywords: correlated degrees; two star; model; nearest neighbors ... See more keywords
Classifying and analyzing small-angle scattering data using weighted k nearest neighbors machine learning techniques
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Crystallography"
DOI: 10.1107/s1600576720000552
Abstract: A consistent challenge for both new and expert practitioners of small-angle scattering (SAS) lies in determining how to analyze the data, given the limited information content of said data and the large number of models… read more here.
Keywords: machine learning; small angle; weighted nearest; nearest neighbors ... See more keywords