A general approach for constructing a recovery matrix from arbitrary perturbation matrix is proposed, which can minimize the variance of unbiased estimate answers. • Perturbation and reconstruction algorithms for boolean and categorical attributes are developed, which can be extended to numerical attribute...
Due to the large size and diversity of the neighborhoods, the ALNS algorithm will explore huge chunks of the solution space in a structured way. As a result, ALNS is very robust as it can adapt to different characteristics of the individual instances, and is able to avoid being trapped in...
The generalized macro can either do completely random matching of patients to controls within the maximum radius, or it can use one of two different algorithms to either maximize the number of propensity score matches, or to give matching priority to the closest possible matches. The algorithm ...
For example, the machine learning component 106 (e.g., one or more machine learning processes performed by the machine learning component 106) can employ expert systems, fuzzy logic, SVMs, Hidden Markov Models (HMMs), greedy search algorithms, rule-based systems, Bayesian models (e.g., ...
The adjacency is a result of a deep connection between the perturbation and local optimization. Despite the application setting, a good general rule is for the perturbation to preserve some structural characteristics of the local minimum Yi it is disrupting to obtain a new starting point Xi+1 ...
For a survey on interactive optimization algorithms, in general, see Reference [14]. The performance of interactive algorithms is strongly influenced by the quality of the feedback given by the interactors. Too many interactions with a user will eventually result in user exhaustion [35], ...
Keywords: visual perception; adaptive; multimodal; biological characteristics; identification and classification; bilateral filter. DOI:10.1504/IJDMB.2025.10066713 Evaluation of neutrophil gelatinase-associated lipocalin precision in periprosthetic joint infection diagnosis ...