Factorization Machines (FM) is a general predictor that can efficiently model feature interactions in linear time, and thus has been broadly used for regression, classification and ranking tasks.Subspace Encoding Factorization Machine (SEFM) is one of the recent approaches which is proposed to enhance FM’s effectiveness by explicit nonlinear
The theory of the Riemann integral was not fully satisfactory.Many important functions do not have a Riemann integral.So, Henstock and Kurzweil make the new theory of integral.From the background, the writer will be research about Henstock-Kurzweil integral and also theorems of Henstock- Kurzweil Integral.Henstock- Kurzweil Integral is generalized
Abstract Background We have recently identified a number of Quantitative Trait Loci (QTL) contributing to the 2-fold muscle weight difference between the LG/J and SM/J mouse strains and refined their confidence intervals.To facilitate nomination of the candidate genes responsible for these differences we examined the transcriptome of the tibialis a
The mass sensing superiority of a micro-/nano-mechanical resonator sensor over conventional mass spectrometry has been, or at least is being firmly established.Because the sensing mechanism of a mechanical resonator sensor is the shifts of resonant frequencies, how to link the shifts of resonant frequencies with the material properties of an analyt