Results 81 to 90 of about 14,724 (294)
Classification is one of the main areas of machine learning, where the target variable is usually categorical with at least two levels. This study focuses on deducing an optimal cut-off point for continuous outcomes (e.g., predicted probabilities ...
O.-A. Ampomah +3 more
doaj +1 more source
Abstract High‐intensity focused ultrasound (HIFU) has emerged as a widely adopted, minimally invasive treatment for localized prostate cancer (PC). Although originally applied for whole‐gland treatment, recent advancements in imaging and technology have facilitated the adoption of HIFU as a focal therapy modality, targeting clinically significant ...
Sunao Shoji +7 more
wiley +1 more source
Evaluating Nonprice Terms to Ration Microfinance Loans Based on Expected Loan Loss Function
Microfinance institutions (MFIs) play a unique role in the financial sector, using an alternative financial intermediation system (business model) to provide banking services to the marginalized.
Enoch Sakyi-Yeboah +3 more
doaj +1 more source
Abstract The call for transformation in Management Education (ME) has intensified amid global crises, including the climate emergency, social inequality, and recurrent corporate misconduct. While Responsible Management Education (RME) has emerged in response to these challenges, it often struggles to move beyond symbolic gestures towards substantive ...
Janette Brunstein +2 more
wiley +1 more source
FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS
The article is devoted to the analysis of practice of application of specific computational techniques within MS Excel, including VBA, for teaching selected topics in actuarial mathematics. Formulation of the problem.
Volodymyr Zubchenko, Rostyslav Yamnenko
doaj +3 more sources
Contemporary artificial intelligence (AI) technologies are often presumed to be capable of revealing unmediated truths about the world, including the truths language might hold, echoing the long‐standing assertion that language's primary function is to directly translate reality.
Beth M. Semel
wiley +1 more source
Machine learning (ML) systems, increasingly deployed in high‐stakes decision‐making, inherently produce uncertain outputs that can lead to unlawful discrimination. This article provides the first legal analysis of how predictive uncertainty in ML systems interacts with UK anti‐discrimination law under the Equality Act 2010.
Holli Sargeant
wiley +1 more source
ABSTRACT In corporate graduate recruitment worldwide, candidates are often assessed not only on competence but on whether they are deemed relatable. This study theorises relatability as a racialised cultural–affective filter that covertly sustains inequality. Drawing on qualitative interviews, we identify five interlinked processes of self‐presentation,
Sifiso Mthembu +3 more
wiley +1 more source
Poisson XRani Distribution: An Alternative Discrete Distribution for Overdispersed Count Data
In this article, a one-parameter probability mass function called Poisson XRani is proposed by combining the Poisson and the XRani distributions. A wide range of distributional properties such as the shape of the probability mass function, probability ...
Seth Borbye +2 more
doaj +1 more source
Flaws, approximations and uncertainties in the estimation of the exposed-to-risk
Bibliography: leaves 62-64.This research analyses the theoretical basis of exposed-to-risk estimation. It defends the conventional actuarial approach against criticisms raised by Hoem (1984), and, in so doing, examines in detail the development of the ...
Slawski, J K
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