Results 21 to 30 of about 13,923,371 (387)
Strong Converse Rates for Quantum Communication [PDF]
IEEE Transactions on Information Theory, 2015 v4: 13 pages, accepted for publication in IEEE Transactions on Information ...
Marco Tomamichel +2 more
openaire +5 more sources
Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling [PDF]
AAAI Conference on Artificial Intelligence, 2020 Conversion rate (CVR) prediction is one of the most critical tasks for digital display advertising. Commercial systems often require to update models in an online learning manner to catch up with the evolving data distribution.
Jia-Qi Yang +6 more
semanticscholar +1 more source
Journal of Medical and Scientific Research, 2023 Timing of laparoscopic cholecystectomy, a widely used treatment modality for acute cholecystitis remains controversial. This prospective observational comparative study investigated patient outcomes for early (ELC) and interval laparoscopic ...
Thomas J +4 more
doaj +1 more source
Predicting Conversion Rates in Online Hotel Bookings with Customer Reviews
Journal of Theoretical and Applied Electronic Commerce Research, 2022 E-commerce in the hospitality and tourism field has already ranked No. 2 among all online shopping categories worldwide. However, customers’ visits to a hotel booking website cannot guarantee the generation of sales, while the conversion rate is regarded
Liang Tang, Xi Wang, Eojina Kim
doaj +1 more source
Diagnostics, 2022 (1) Background: The treatment of dental cavities and restoration of tooth shape requires specialized materials with specific clinical properties, including being easy to model, light-cured, having a natural color, reduced shrinkage, a hardness similar to
Eduard Gatin +6 more
doaj +1 more source
Contrastive Learning for Conversion Rate Prediction
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023 Conversion rate (CVR) prediction plays an important role in advertising systems. Recently, supervised deep neural network-based models have shown promising performance in CVR prediction. However, they are data hungry and require an enormous amount of training data.
Wentao Ouyang +6 more
openaire +2 more sources
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2018 Estimating post-click conversion rate (CVR) accurately is crucial for ranking systems in industrial applications such as recommendation and advertising.
Xiao Ma +6 more
semanticscholar +1 more source
IEEE Access, 2021 Partial shading is an unavoidable factor that reduces the performance of solar PV systems. The PV system receives uneven irradiation due to partial shading which causes the mismatch loss.
A. Srinivasan +7 more
semanticscholar +1 more source
Incorporation of tritium by pepper and eggplant cultures with short-term exposure to tritium oxide
Радиационная гигиена, 2023 The article presents results of a study of tritium incorporation by vegetable crops with short-term aerial exposure to tritium oxide in laboratory and field conditions.
E. N. Polivkina +6 more
doaj +1 more source
Improving clinical efficiency in screening for cognitive impairment due to Alzheimer's
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2023 INTRODUCTION To reduce demands on expert time and improve clinical efficiency, we developed a framework to evaluate whether inexpensive, accessible data could accurately classify Alzheimer's disease (AD) clinical diagnosis and predict the likelihood of ...
Yueqi Ren +2 more
doaj +1 more source