Results 71 to 80 of about 875,908 (286)

Multi-Output Bayesian Support Vector Regression Considering Dependent Outputs

Mathematics
Multi-output regression aims to utilize the correlation between outputs to achieve information transfer between dependent outputs, thus improving the accuracy of predictive models.
Yanlin Wang, Zhijun Cheng, Zichen Wang
doaj   +1 more source

Circulating tumor cell viability during and after radiotherapy mirrors treatment response in cancer patients

Molecular Oncology, EarlyView.
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy, Jana Löptien, Cornelia Coith, Afroditi Nanou, Katharina Hintelmann, Pinnschmidt Hans, Cordula Petersen, Klaus Pantel, Sabine Riethdorf, Kerstin Borgmann, Harriet Wikman   +10 more
wiley   +1 more source

Optimized support vector regression for drillingrate of penetration estimation

Open Geosciences, 2015
In the petroleum industry, drilling optimizationinvolves the selection of operating conditions for achievingthe desired depth with the minimum expenditurewhile requirements of personal safety, environment protection,adequate information of penetrated ...
Bodaghi Asadollah, Ansari Hamid Reza, Gholami Mahsa   +2 more
doaj   +1 more source

Targeting TNBC: core–shell polycationic polyurea dendrimers with inherent anticancer activity

FEBS Open Bio, EarlyView.
Core–shell polycationic PURE dendrimers were tested in TNBC‐derived tumor models. Both formulations selectively targeted TNBC and effectively reduced tumor volume. PUREG4‐OEI48 suppressed tumor growth without detectable toxicity, whereas PUREG4‐OCEI24, despite showing efficacy, induced hepatic toxicity.
Adriana Cruz, Bruna Abreu, Cindy Mendes, Catarina Freitas‐Dias, Filipe Gonçalves, Fernanda Silva, José Ramalho, Saudade André, Vasco D. B. Bonifácio, Jacinta Serpa   +9 more
wiley   +1 more source

Predicting popularity of online videos using Support Vector Regression

, 2017
In this work, we propose a regression method to predict the popularity of an online video based on temporal and visual cues. Our method uses Support Vector Regression with Gaussian Radial Basis Functions.
Rokita, Przemyslaw, Trzcinski, Tomasz
core   +1 more source

Mycobacterial cell division arrest and smooth‐to‐rough envelope transition using CRISPRi‐mediated genetic repression systems

FEBS Open Bio, EarlyView.
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point, Wafaa Achache, Janïs Laudouze, Eliana Sepulveda Ramos, Mickaël Maziero, Céline Crauste, Stéphane Canaan, Pierre Santucci   +7 more
wiley   +1 more source

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, Mahardhika Pratama, Zhenyuan Ma, Jun Li, Mukesh Prasad   +4 more
doaj   +1 more source

HIV‐1 establishes immediate latency in T cells expressing the viral Nef protein

FEBS Open Bio, EarlyView.
Nef is a viral protein often omitted from HIV‐1 reporter viruses. Consequently, its role in viral latency is unclear. We developed three novel dual reporter HIV‐1 derivatives that express Nef and allow for detection of latent and productive infection. Using these reporters, we show that Nef does not affect the establishment of immediate viral latency ...
Cindy Lam, Ivan Sadowski
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

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, Weidong Shi, Jun Wang, Liang He, Tong Wang, Huilin Yang, Wei Hu, Jun Lin, Pengli Bai   +8 more
doaj   +1 more source