An interior-point algorithm for $$P_*(\kappa )$$P∗(κ)-LCP based on a new trigonometric kernel function with a double barrier term
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Applied Mathematics and Computing"
DOI: 10.1007/s12190-015-0978-3
Abstract: In this paper, we present a new large-update interior-point algorithm for $$P_*(\kappa )$$P∗(κ)-linear complementarity problem. The new algorithm is based on a trigonometric kernel function which differs from the existing kernel functions in which it… read more here.
Keywords: algorithm; algorithm kappa; point algorithm; interior point ... See more keywords
Probabilistic forecasting of crop yields via quantile random forest and Epanechnikov Kernel function
Sign Up to like & getrecommendations! Published in 2020 at "Agricultural and Forest Meteorology"
DOI: 10.1016/j.agrformet.2019.107808
Abstract: Abstract A reliable and accurate forecasting model for crop yields is of crucial importance for efficient decision-making process in the agricultural sector. However, due to weather extremes and uncertainties, most forecasting models for crop yield… read more here.
Keywords: crop; kernel function; epanechnikov kernel; quantile random ... See more keywords
Kernel-target alignment based non-linear metric learning
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.042
Abstract: Abstract Distance metric learning aims to learn a measure of the pairwise distance between data instances, which is essential for various machine learning algorithms and applications. However, existing linear metric learning methods based on linear… read more here.
Keywords: metric learning; linear metric; distance; kernel function ... See more keywords
Robust Decomposition of Kernel Function-Based Nonlinear Robust Multimode Process Monitoring
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3261915
Abstract: With the rapid development of modern industry, actual production processes generally have a variety of complex characteristics, including nonlinearity, multimodality, and contamination. Those characteristics, as well as the faults, bring great challenges to traditional process… read more here.
Keywords: multimode process; robust decomposition; function; kernel function ... See more keywords
Intelligent Classification Method for Semi-supervised Marine Remote Sensing Images Based on Clustering Kernel Function
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Coastal Research"
DOI: 10.2112/si97-019.1
Abstract: ABSTRACT Luo, D., 2019. Intelligent classification method for semi-supervised marine remote sensing images based on clustering kernel function. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine… read more here.
Keywords: marine remote; remote sensing; semi supervised; sensing images ... See more keywords