Abstract: This article proposes an algorithm for solving multivariate regression and classification problems using piecewise linear predictors over a polyhedral partition of the feature space. The ...
Abstract: In this paper, we present an approach to nonlinear system approximation, called the lattice trajectory piecewise linear (LTPWL) model. The approach involves determining a lattice piecewise ...
piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes. APLR builds predictive, interpretable ...
Piecewise Linear Functions (PWLs) can be used to approximate any 1D function. PWLs are built with a configurable number of line segments - the more segments the more accurate the approximation. This ...
Department of Chemistry, Nanoporous Materials Genome Center, Minnesota Supercomputing Institute, and Chemical Theory Center, University of Minnesota, 207 Pleasant Street Southeast, Minneapolis, ...
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