Lesser the Logistic Regression Cost Function, better the learning, more accurate will be our predictions. More for You CSK vs RR: Vaibhav Suryavanshi impresses in a rare RR successful chase; Dhoni ...

Abstract: This paper proposes a hybrid multilogistic methodology, named logistic regression using initial and radial basis function (RBF) covariates. The process for obtaining the coefficients is ...

Is innovation inherently a hit-or-miss endeavor? Not if you understand why customers make the choices they do. by Clayton M. Christensen, Taddy Hall, Karen Dillon and David S. Duncan For as long ...

To make ALS applicable to logistic regression, we introduce an auxiliary function derived from Pólya-Gamma augmentation, allowing logistic loss to be minimized as a weighted squared loss. We apply the ...

Graphs and networks are used across a wide range of disciplines. Some examples include the optimisation of transport systems in engineering; the development of algorithms for navigation in computer ...

Abstract: The size of knowledge graphs used in real applications grows constantly. Predicting the performance of storage solutions for knowledge graphs w.r.t. their query performance is hence of ...