Piecewise forecasting of nonlinear time series with model tree dynamic Bayesian networks
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22982
Abstract: When modelling multivariate continuous time series, a common issue is to find that the original processes that generated the data are nonlinear or that they drift away from the original distribution as the system evolves… read more here.
Keywords: model tree; time; dynamic bayesian; time series ... See more keywords
Modeling algal atypical proliferation using the hybrid DE–MARS–based approach and M5 model tree in La Barca reservoir: A case study in northern Spain
Sign Up to like & getrecommendations! Published in 2019 at "Ecological Engineering"
DOI: 10.1016/j.ecoleng.2019.02.020
Abstract: Abstract Algal atypical proliferation is a consequence of water fertilization (also called eutrophication) and one of the main causes of the degradation of reservoir and lake ecosystems. Its intensification during the last decades has led… read more here.
Keywords: atypical proliferation; reservoir; proliferation; algal atypical ... See more keywords
Local Linear Model Tree with Optimized Structure
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.1326
Abstract: Abstract This paper investigates the local linear model tree (LOLIMOT) with optimized structure. The performance of the LOLIMOT model depends on how the neurons are constructed. In the typical LOLIMOT model, the number of neurons… read more here.
Keywords: optimized structure; local linear; model; linear model ... See more keywords
Robust detection of natural selection using a probabilistic model of tree imbalance.
Sign Up to like & getrecommendations! Published in 2022 at "Genetics"
DOI: 10.1093/genetics/iyac009
Abstract: Neutrality tests such as Tajima's D (Tajima 1989) and Fay and Wu's H (Fay and Wu 2000) are standard implements in the population genetics toolbox. One of their most common uses is to scan the… read more here.
Keywords: tree imbalance; model tree; probabilistic model; selection ... See more keywords
Single-Index Model Tree
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3126615
Abstract: In this paper, a novel single-index model tree (SIMTree) is proposed. It adopts the recursive partitioning strategy and each data segment is modeled by a single-index model (SIM), which is a flexible extension of linear… read more here.
Keywords: model tree; index model; single index; model ... See more keywords
INTEGRATING MODEL TREE AND MODIFIED STEPWISE REGRESSION IN CONCRETE SLUMP PREDICTION AND STEEL FABRICATION ESTIMATING
Sign Up to like & getrecommendations! Published in 2021 at "Canadian Journal of Civil Engineering"
DOI: 10.1139/cjce-2020-0753
Abstract: The model tree algorithm of M5 is integrated with the multiple linear regression technique called modified stepwise regression (MSR), resulting in a new methodology for modeling complex civil engineering problems. We purposefully chose artificial neural… read more here.
Keywords: model tree; methodology; prediction; regression ... See more keywords
Predicting Compressive and Splitting Tensile Strengths of Silica Fume Concrete Using M5P Model Tree Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Materials"
DOI: 10.3390/ma15155436
Abstract: Compressive strength (CS) and splitting tensile strength (STS) are paramount parameters in the design of reinforced concrete structures and are required by pertinent standard provisions. Robust prediction models for these properties can save time and… read more here.
Keywords: model tree; silica fume; fume concrete; splitting tensile ... See more keywords