Results 21 to 30 of about 3,880,374 (297)

Learning rates for kernel-based expectile regression [PDF]

open access: yesMachine Learning, 2018
Conditional expectiles are becoming an increasingly important tool in finance as well as in other areas of applications. We analyse a support vector machine type approach for estimating conditional expectiles and establish learning rates that are minimax optimal modulo a logarithmic factor if Gaussian RBF kernels are used and the desired expectile is ...
Farooq, Muhammad, Steinwart, Ingo
openaire   +2 more sources

Experimental Investigation on Combustion Characteristics of Hybrid Rocket Fuels with Multi-Angle Diverging Injector

open access: yesInternational Journal of Turbomachinery, Propulsion and Power, 2020
Injection pattern of the oxidizer injected into the combustion chamber is a significant factor in evaluating the performance of a hybrid rocket. In the hybrid rocket combustion process, oxidizer flows over the solid fuel grain surface, leading to a ...
Pragya Berwal, Shelly Biswas
doaj   +1 more source

Data-driven rate-optimal specification testing in regression models [PDF]

open access: yes, 2005
We propose new data-driven smooth tests for a parametric regression function. The smoothing parameter is selected through a new criterion that favors a large smoothing parameter under the null hypothesis.
Guerre, Emmanuel, Lavergne, Pascal
core   +7 more sources

Innovative Methods to Enhance the Combustion Properties of Solid Fuels for Hybrid Rocket Propulsion

open access: yesAerospace, 2019
The low regression rates for hydroxyl-terminated polybutadiene (HTPB)-based solid fuels and poor mechanical properties for the alternative paraffin-based liquefying fuels make today hybrid rocket engines far from the outstanding accomplishments of solid ...
Suhang Chen   +6 more
doaj   +1 more source

Predicting Steam Games Rating with Regression

open access: yesE3S Web of Conferences, 2023
This paper tries to find out the best regression model to predict the rating of video games. It is done by comparing multiple variables related to Metascore, such as genres and player count. In order to be able to get accurate results, we gather some data by scraping them from Steam and combining them with public data.
Teja Andreas S.   +2 more
openaire   +2 more sources

Robust linear regression: optimal rates in polynomial time [PDF]

open access: yesProceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021
Updated exposition of sum-of-squares background and ...
Bakshi, Ainesh, Prasad, Adarsh
openaire   +2 more sources

Condom use to enhance regression of cervical intraepithelial neoplasia: study protocol for a randomized controlled trial

open access: yesTrials, 2019
Background Condom use can reduce the risk of infection by human papillomavirus (HPV). Furthermore, it has been suggested that condom use can increase the regression rate of cervical lesions. In Denmark, women with cervical intraepithelial neoplasia grade
Malene Skorstengaard   +2 more
doaj   +1 more source

Adaptive goodness-of-fit tests based on signed ranks [PDF]

open access: yes, 2008
Within the nonparametric regression model with unknown regression function $l$ and independent, symmetric errors, a new multiscale signed rank statistic is introduced and a conditional multiple test of the simple hypothesis $l=0$ against a nonparametric ...
Rohde, Angelika
core   +4 more sources

An Investigation on the Effect of Chemical Kinetics Mechanisms in the Modeling of Combustive Gaseous Oxidizer Flow on a Solid Fuel Surface [PDF]

open access: yesفصلنامه علوم و فناوری فضایی, 2010
In this study, the combustion process of gaseous Oxygen on the surface of HTPB solid fuel has been investigated. To simulate the chemically reactive flow, Navier-Stokes equations and species transport equations were solved using LU-SW implicit scheme ...
M. Ahangar, R. Ebrahimi
doaj  

Robust nonparametric estimation via wavelet median regression [PDF]

open access: yes, 2008
In this paper we develop a nonparametric regression method that is simultaneously adaptive over a wide range of function classes for the regression function and robust over a large collection of error distributions, including those that are heavy-tailed,
Brown, Lawrence D.   +2 more
core   +3 more sources

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