Classification and regression tree approach was used in this research to model phone duration of Lithuanian. 300 thousand samples of vowels and 400 thousand samples of consonants e...
Abstract. Using the classical Parzen window (PW) estimate as the target function, the sparse kernel density estimator is constructed in a forward constrained regression manner. The...
One of the central axioms of extreme programming is the disciplined use of regression testing during stepwise software development. Due to recent progress in software model checkin...
Thomas A. Henzinger, Ranjit Jhala, Rupak Majumdar,...
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...
We consider the problem of estimating the regression function in functional linear regression models by proposing a new type of projection estimators which combine