Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling

A Nonparametric Delayed Feedback Model for Conversion Rate Prediction

Predicting conversion rates (CVRs) in display advertising (e.g., predicting the proportion of users who purchase an item (i.e., a conversion) after its corresponding ad is clicked) is important when measuring the effects of ads shown to users and to understanding the interests of the users. There is generally a time delay (i.e., so-called delayed feedback) between the ad click and conversion. O...

Sampling Rate Conversion in the Discrete Linear Canonical Transform Domain

Sampling rate conversion (SRC) is one of important issues in modern sampling theory. It can be realized by up-sampling, filtering, and down-sampling operations, which need large complexity. Although some efficient algorithms have been presented to do the sampling rate conversion, they all need to compute the N-point original signal to obtain the up-sampling or the down-sampling signal in the tim...

Time to Sputum Smear Conversion in Smear-Positive Pulmonary Tuberculosis Patients and Factors for Delayed Conversion

Pulmonary tuberculosis is a common infection worldwide. In the eastern part of Iran, fluctuations in tuberculosis prevalence are seen due to the migration of people from Afghanistan. The aim of this study was to evaluate the time of bacteriologic sputum conversion after treatment and affecting factors in those whose smear does not become negative.This study was carried out on 85 smear-positive ...

Finite Extinction Time via Delayed Feedback Actions

We study the “finite extinction phenomenon” for solutions of parabolic reaction-diffusion equations of the type ∂u ∂t −∆u+ b(t)f(u(t− τ,x)) = 0, (t,x) ∈ (0,+∞)×Ω, with a delay term τ > 0. Here Ω is an open and bounded set in R , b ≥ 0, f is a continuous function, u(t,x) satisfies a homogeneous Neumann or Dirichlet boundary condition on (0,+∞)×∂Ω and some functional initial condition u(s,x) = u0...

Efficient Failure Rate Prediction for SRAM Cells via Gibbs Sampling