Results 241 to 250 of about 3,930,451 (296)

Data-Driven Multi-Objective Optimization of Drilling Performance in Multi-Walled Carbon Nanotube-Reinforced Carbon Fiber-Reinforced Polymer Nanocomposites. [PDF]

Polymers (Basel)
Kirli Akin H.
europepmc   +1 more source

Prognostic analysis and development of a prognostic model for EML4-ALK-positive lung cancer patients treated with ALK-TKIs. [PDF]

Front Med (Lausanne)
Liu R, Su C, Su H, Wang L.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Optimal learning rates for distribution regression

Journal of Complexity, 2020
A learning algorithm is studied for distribution regression with regularized least squares (RLS). The algorithm contains two stages of samples and aims at regressing from distributions to real valued outputs. The first stage sample consists of (unknown) probability distributions \(x_i, i=1,\ldots,l,\) and the second stage sample consists of the data ...
Zhiying Fang, Zheng-Chu Guo, Ding-Xuan Zhou   +2 more
openaire   +1 more source

Learning rate of distribution regression with dependent samples

Journal of Complexity, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shunan Dong, Wenchang Sun
openaire   +1 more source

Explaining Unemployment Rates with Symbolic Regression

2014
Much of the research on the accuracy of symbolic regression (SR) has focused on artificially constructed search problems where there is zero noise in the data. Such problems admit of exact solutions but cannot tell us how accurate the search process is in a noisy real world domain. To explore this question symbolic regression is applied here to an area
Philip Truscott, Michael F. Korns
openaire   +1 more source

On the regression analysis of tumour recurrence rates

Statistics in Medicine, 1989
AbstractRegression models with mixture (random) components are proposed for the statistical analysis of recurrent events when waiting times between successive events are unknown. These models allow adjustment of parameter estimates for unobserved heterogeneity in the population (due for example to missing covariates) or overdispersion resulting from ...
openaire   +2 more sources

A regression method for modelling geometric rates

Statistical Methods in Medical Research, 2015
The occurrence of an event of interest over time is often summarized by the incidence rate, defined as the average number of events per person-time. This type of rate applies to events that may occur repeatedly over time on any given subject, such as infections, and Poisson regression represents a natural regression method for modelling the effect of ...
openaire   +2 more sources