Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...
Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...
This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...
Bayesian analysis is being used with increasing frequency in critical care research and brings advantages and disadvantages compared to traditional Frequentist techniques. This study overviews this ...
ABSTRACT: The purpose of this research was to determine whether Artificial Intelligence (AI) and the Expected Utility Hypothesis can be effectively applied to the prioritization of defense in-depth ...
Abstract: Underwater target detection and its development have an important role in advancing marine science and technology. However, the complex and dynamic underwater environment poses challenges ...
This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, including ...
The objective of this work was to evaluate how heritability and the number of quantitative trait loci (QTL) controlling the trait can influence the prediction of genetic value by genomic selection ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback