Balancing the distributions of confounders across exposure levels in an observational study through matching or weighting is accepted method to control for confounding due these variables when estimating association between and outcome reduce degree dependence on certain modeling assumptions. Despite increasing popularity practice, procedures cannot be immediately applied datasets with missing ...

The order-preserving multiple pattern matching problem is to find all substrings of T whose relative orders are the same for any in a set patterns. Various sequential algorithms have been studied problems. In this paper, we propose two parallel algorithms, each which uses Aho–Corasick automata and fingerprint tables, respectively. We also present experimental results comparing execution times a...

Four pigeons on concurrent variable interval, variable ratio approximated the matching relationship with biases toward the variable interval when time spent responding was the measure of behavior and toward the variable ratio when frequency of pecking was the measure of behavior. The local rates of responding were consistently higher on the variable ratio, even when there was overall preference...

A novel algorithm for obtaining accurate dense disparity measurements and precise border localization from stereo pairs is proposed. The algorithm embodies a very effective variable support approach based on segmentation within a Scanline Optimization framework. The use of a variable support allows for precisely retrieving depth discontinuities while smooth surfaces are well recovered thanks to...