Results 41 to 50 of about 137,972 (308)
omlie/lasso-testing: Lasso testing utilities
Contains utilities for performance testing the lasso selection tools in MultiselectJS. Contains results from performance testing.
Ole Magnus Lie
core +1 more source
Load Nowcasting: Predicting Actuals with Limited Data
We introduce the problem of load nowcasting to the energy forecasting literature. The recent load of the objective area is predicted based on limited available metering data within this area.
Florian Ziel
doaj +1 more source
omlie/lasso-testing: Lasso testing, results and script for plotting data
Contains lasso test bed, results from testing and a script that exports plotted data to the ...
Ole Magnus Lie
core +1 more source
Direct effects testing : a two-stage procedure to test for effect size and variable importance for correlated binary predictors and a binary response. [PDF]
In applications such as medical statistics and genetics, we encounter situations where a large number of highly correlated predictors explain a response.
Sperrin, M.; id_orcid +5 more
core +1 more source
REAL-TIME RADIOACTIVE PRECURSOR OF THE APRIL 16, 2016 Mw 7.8 EARTHQUAKE AND TSUNAMI IN ECUADOR [PDF]
On the 16th of April 2016, a Mw 7.8 earthquake with a minor tsunami impacted coastal Ecuador, being the most devastating seismic event registered in northern South America in this century so far.
Theofilos Toulkeridis +5 more
doaj
19 pages, 4 figures and 7 ...
Linn Cecilie Bergersen +2 more
openaire +3 more sources
Ionic silver (Ag+) is being investigated as a residual biocide for use in NASA spacecraft potable water systems on future crewed missions. This water will be used to irrigate future spaceflight crop production systems.
LaShelle Spencer +11 more
doaj +1 more source
Boosting Ridge Regression [PDF]
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approaches to combining ridge regression with boosting techniques.
Binder, Harald, Tutz, Gerhard
core +1 more source
A Fast Method for Lasso and Logistic Lasso
We propose a fast method for solving compressed sensing, Lasso regression, and Logistic Lasso regression problems that iteratively runs an appropriate solver using an active set approach. We design a strategy to update the active set that achieves a large speedup over a single call of several solvers, including gradient projection for sparse ...
Siu-Wing Cheng, Man Ting Wong
openaire +2 more sources

