Results 81 to 90 of about 326,273 (311)
Financial time series forecasting using twin support vector regression.
PLoS ONE, 2019 Financial time series forecasting is a crucial measure for improving and making more robust financial decisions throughout the world. Noisy data and non-stationarity information are the two key factors in financial time series prediction.
Deepak Gupta +4 more
doaj +1 more source
A Survey on Potential of the Support Vector Machines in Solving Classification and Regression Problems [PDF]
Kernel methods and support vector machines have become the most popular learning from examples paradigms. Several areas of application research make use of SVM approaches as for instance hand written character recognition, text categorization, face ...
Catalina COCIANU +2 more
core +1 more source
Support Vector Machines for Credit Scoring and discovery of significant features [PDF]
, 2009 The assessment of risk of default on credit is important for financial institutions. Logistic regression and discriminant analysis are techniques traditionally used in credit scoring for determining likelihood to default based on consumer application and
Crook, Jonathan, Bellotti, Tony
core +1 more source
FEBS Open Bio, EarlyView.The MRP4 transporter exports several drugs and signaling molecules. Here, we identified key promoter elements regulating basal MRP4 expression. Using reporter assays, we defined a conserved region with essential Sp1 and contributory Ets sites, which controlled basal MRP4 expression.
Debora Singer +7 more
wiley +1 more source
Parameters Tuning in Support Vector Regression for Reliability Forecasting
Chemical Engineering Transactions, 2013 The recent and promising machine learning technique called support vector machine (SVM) has become a hot research subject in time series forecasting, since proposed from Statistic Learning Theory by Vapnik.
W. Zhao, T. Tao, E. Zio
doaj +1 more source
FEBS Open Bio, EarlyView.Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
Modeling composed nanoparticles of chitosan-N-acetylene-L-cysteine with support vector regression
AIP Advances, 2020 The process of nanoemulsion was improved by optimizing the concentration of chitosan-N-acetylene-L-cysteine and sodium tripolyphosphate and the volume ratio between the two components.
Xueyan Nan +8 more
doaj +1 more source
Support vector regression diagram.
, 2022 Support vector regression diagram.
Chunli Meng (12306509) +4 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano +11 more
wiley +1 more source