Results 11 to 20 of about 2,867,542 (311)

Diagnosing Barren Plateaus with Tools from Quantum Optimal Control [PDF]

open access: yesQuantum, 2021
Variational Quantum Algorithms (VQAs) have received considerable attention due to their potential for achieving near-term quantum advantage. However, more work is needed to understand their scalability.
Martín Larocca   +5 more
semanticscholar   +1 more source

Diagnosing Model Performance Under Distribution Shift [PDF]

open access: yesOperational Research, 2023
Diagnosing Why Models Fail Under Distribution Shift and What to Do Next Predictive models often perform worse when deployed in a new target setting, but it is rarely clear why.
Tiffany Cai   +2 more
semanticscholar   +1 more source

Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2020
Large datasets have become commonplace in NLP research. However, the increased emphasis on data quantity has made it challenging to assess the quality of data. We introduce Data Maps---a model-based tool to characterize and diagnose datasets. We leverage
Swabha Swayamdipta   +6 more
semanticscholar   +1 more source

A Machine Learning Methodology for Diagnosing Chronic Kidney Disease

open access: yesIEEE Access, 2023
Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality rate, and it induces other diseases. Since there are no obvious symptoms during the early stages of CKD, patients often fail to notice the disease.
Jiongming Qin   +5 more
semanticscholar   +1 more source

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2019
A machine learning system can score well on a given test set by relying on heuristics that are effective for frequent example types but break down in more challenging cases.
R. Thomas McCoy   +2 more
semanticscholar   +1 more source

Current Guidelines for Diagnosing PCOS

open access: yesDiagnostics, 2023
Polycystic ovary syndrome (PCOS) is the most common endocrine disorder of reproductive-aged women. Much of the confusion surrounding PCOS diagnosis stems from the broad heterogeneity of symptomology experienced by women with PCOS. The diverse features of
J. Christ, M. Cedars
semanticscholar   +1 more source

The role of deep learning in diagnosing colorectal cancer

open access: yesGastroenterology Review, 2023
Colon cancer is a major public health issue, affecting a growing number of individuals worldwide. Proper and early diagnosis of colon cancer is the necessary first step toward effective treatment and/or prevention of future disease relapse.
Dimitrios Bousis   +10 more
semanticscholar   +1 more source

Diagnosing COVID-19: The Disease and Tools for Detection

open access: yesACS Nano, 2020
COVID-19 has spread globally since its discovery in Hubei province, China in December 2019. A combination of computed tomography imaging, whole genome sequencing, and electron microscopy were initially used to screen and identify SARS-CoV-2, the viral ...
Buddhisha N Udugama   +9 more
semanticscholar   +1 more source

Diagnostics of secondary power supplies means of communication

open access: yesСучасні інформаційні системи, 2021
The article discusses an approach to technical diagnostics of secondary power supplies for communication facilities. Diagnostics is carried out during the current repair.
Lev Sakovych   +3 more
doaj   +1 more source

The Role of Machine Learning Algorithms for Diagnosing Diseases

open access: yesJournal of Applied Science and Technology Trends, 2021
Nowadays, machine learning algorithms have become very important in the medical sector, especially for diagnosing disease from the medical database.
I. Ibrahim, A. Abdulazeez
semanticscholar   +1 more source

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