6115 results found
Co-designing efficient machine learning based systems across the whole hardware/software stack to trade off speed, accuracy, energy and costs is becoming extremely complex and time consuming. Researchers often struggle to evaluate and compare differe...
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
Automatic diagnosis (AD), a critical application of AI in healthcare, employs machine learning techniques to assist doctors in gathering patient symptom information for precise disease diagnosis. The Transformer-based method utilizes an input symptom...
Transfer learning (TL) is a technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related
As the complexity of machine learning (ML) models increases, resulting in a lack of prediction explainability, several methods have been developed to explain a model's behavior in terms of the training data points that most influence the model. Howev...
The conditional value-at-risk (CVaR) is a useful risk measure in fields such as machine learning, finance, insurance, energy, etc. When measuring very extreme risk, the commonly used CVaR estimation method of sample averaging does not work well due t...
The Shared Host Integrated Password System (SHIPS) is a solution to provide unique and rotated local super user or administrator passwords for environments where it is not possible or not appropriate to disable these local accounts. Clients may be configured t…
Transformers have become pivotal in Natural Language Processing, demonstrating remarkable success in applications like Machine Translation and Summarization. Given their widespread adoption, several works have attempted to analyze the expressivity of...
Q&A for people interested in statistics, machine learning, data analysis, data mining, and data visualization
In this manuscript we will present a brief overview of the comorbidity concept. We will start by laying its foundations and its definitions and then describing the role that machine learning can hold in mining and defining it. The purpose of this sho...
Materials properties depend strongly on chemical composition, i.e., the relative amounts of each chemical element. Changes in composition lead to entirely different chemical arrangements, which vary in complexity from perfectly ordered (i.e., stoichi...
Traffic light management is a broad subject with various papers published that put forth algorithms to efficiently manage traffic using traffic lights. Two such algorithms are the OAF (oldest arrival first) and ITLC (intelligent traffic light control...
the Wayback Machine "Rezultatele finale ale alegerilor locale din 2020" (Json) (in Romanian). Autoritatea Electorală Permanentă. Retrieved 2020-11-02.
the Wayback Machine "Rezultatele finale ale alegerilor locale din 2020" (Json) (in Romanian). Autoritatea Electorală Permanentă. Retrieved 2020-11-02.
the Wayback Machine "Rezultatele finale ale alegerilor locale din 2020" (Json) (in Romanian). Autoritatea Electorală Permanentă. Retrieved 2 November 2020
the Wayback Machine "Rezultatele finale ale alegerilor locale din 2020" (Json) (in Romanian). Autoritatea Electorală Permanentă. Retrieved 2 November 2020
the Wayback Machine "Rezultatele finale ale alegerilor locale din 2020" (Json) (in Romanian). Autoritatea Electorală Permanentă. Retrieved 2020-11-02.
the Wayback Machine "Rezultatele finale ale alegerilor locale din 2020" (Json) (in Romanian). Autoritatea Electorală Permanentă. Retrieved 2 November 2020
2008-09-21 at the Wayback Machine). Virgilio López Lemus, prologue. Smith 1997, p. 238. "Virgilio López Lemus. Ob. Cit". Archived from the original on
