How can we make machine learning research more reproducible and transparent?

May 16, 2024 ... ... informational injustice and structural informational injustice. The ... Specific Sciences > Artificial Intelligence > Machine Learning Silva, Felipe Tobar, Mario Vicuña, Felipe Cordova; 25(291):1−71, 2024. Abstract. Information-theoretic measures have been widely adopted for machine learning ( ... May 21, 2024 ... ... machine learning and deep learning models to reliably predict informational support questions and responses. We employed explainable AI to ... ... Information Management (MS-AIM). Expand your understanding of data manipulation and modeling, querying, machine learning, and visualizations. Through ... This paper uses machine learning techniques to examine the extent to which firms could identify the bids of their rivals in public data, and to describe the ... Nov 7, 2013 ... Machine learning is a form of parametric optimization whose links with information theory are clear thus evolving. The problem is that this link ... What is AI? Artificial Intelligence explained ... Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer ... Sep 2, 2022 ... In this paper, numerous methods for early detection of this disease are employed for machine learning. Here, we consider C 5.0, Naive Bayes, logistic ... The book aims to provide a modern approach to information retrieval from a computer science perspective. ... Support vector machines & machine learning on ... Mar 2, 2021 ... ... information. Keywords: Market efficiency; Information acquisition; Machine learning; Informed trading; Algorithmic trading. undefined. JEL ...