Results 31 to 40 of about 1,914,522 (244)
PM2.5 concentration prediction model based on random forest regression analysis
The random foreat regression algorithm was introduced to solve the shortcomings of neural network in predicting the PM2.5 concentration,such as over-fitting,complex network structure,low learning efficiency.A novel PM2.5 concentration prediction model ...
Xu DU, Jingyu FENG, Shaoqing LV, Wei SHI
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Random model trees: an effective and scalable regression method [PDF]
We present and investigate ensembles of randomized model trees as a novel regression method. Such ensembles combine the scalability of tree-based methods with predictive performance rivaling the state of the art in numeric prediction.
Pfahringer, Bernhard
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ABSTRACT Background L‐asparaginase is a critical component in treatment protocols for pediatric acute lymphoblastic leukemia. Acute pancreatitis reactions can necessitate delays and, in some cases, discontinuation of L‐asparaginase, which compromises outcomes.
Edward J. Raack +39 more
wiley +1 more source
This study aimed to estimate genetic parameters of reproductive efficiency over a wide age range of females using a random regression model (RRM) in Spanish goat breeds.
Chiraz Ziadi +5 more
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Linearization of randomly weighted empiricals under long range dependence with application to nonlinear regression quantiles [PDF]
This paper discusses some asymptotic uniform linearity results of randomly weighted empirical processes based on long range dependent random variables+ These results are subsequently used to linearize nonlinear regression quantiles in a nonlinear ...
Mukherjee, Kanchan
core
Mapping the evolution of mitochondrial complex I through structural variation
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Severe Malnutrition among under five still become a problem in East Java. Regression analysis that has been done only use data in one year so it can not see the effect of time.
Irma Ike Wahyuni, Mahmudah Mahmudah
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: Ketosis is one of the most prevalent and complex metabolic disorders in high-producing dairy cows and usually detected through analyses of β-hydroxybutyrate (BHB) concentration in blood. Our main objectives were to evaluate genetic parameters for blood
W. Lou +10 more
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The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
The objective of this study was to estimate genetic parameters for the body weights of Turkish Holstein bulls using the random regression model. The data set consists of 1475 body weight records from 395 Holstein bulls raised in the same herd.
Aşkın Galiç, Çiğdem Takma
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