A review of word-sense disambiguation methods and algorithms: Introduction
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2015 The word-sense disambiguation task is a classification task, where the goal is to predict the meaning of words and phrases with the help of surrounding text.
Tatiana Kaushinis +14 more
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Application of Shannon Entropy for Selecting the Optimum input Variables in River Flow Simulation using Intelligent Models (Case Study: SofyChay) [PDF]
علوم و مهندسی آبیاری, 2018 Accurate prediction of the river flow is an important element in the management of surface water resources, dam reservoir operation, flood control and drought.
fateme Akhoni Pourhosseini +1 more
doaj +1 more source
Immune-related adverse events associated with PD-1/PD-L1 Inhibitors used as first-line treatment for advanced non-small cell lung cancer: a Bayesian network meta-analysis of randomized clinical trials [PDF]
, 2021 Jingjing Gu +3 more
openalex +1 more source
Advancing the Landscape of RNAi Nanotherapeutics for Ischemic Heart Disease
Advanced Materials, EarlyView.RNA interference (RNAi) nanomedicine revolutionizes treatment regimens for ischemic heart diseases by enabling tailored, sequence‐anchored gene regulation. This review highlights the recent advances in nanotechnology‐driven RNAi therapeutics for myocardial ischemia and discusses the key design principles that govern efficient delivery, providing ...
Han Gao, Da Pan, Hélder A. Santos
wiley +1 more source
Generative Models for Crystalline Materials
Advanced Materials, EarlyView.Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni +15 more
wiley +1 more source
HyPE: Online Hybrid Pseudo-Bayesian Estimation Method for S-ALOHA-Based Tactical FANETs
IEEE AccessSignificant challenges are involved in tactical flying ad-hoc network (FANET) missions because network environments are very dynamic. In addition, energy-efficient network operation is important in tactical FANETs owing to the limited capacity of the on ...
Jimin Jeon +7 more
doaj +1 more source
An Empirical-Bayes Score for Discrete Bayesian Networks
, 2016 Bayesian network structure learning is often performed in a Bayesian setting, by evaluating candidate structures using their posterior probabilities for a given data set.
Scutari, Marco
core
Oxygen Evolution Reaction Catalysts for Acidic‐Media CO2 Electrolyzers
Advanced Materials, EarlyView.Acidic‐media CO2 electroreduction (CO2R) could decarbonize chemical production, despite relying on rare‐earth elements for anodic oxygen evolution reaction (OER). Transferring the learnings from mature sister technologies (water electrolysis) could accelerate technological development.
Mingcheng Huang, Adnan Ozden
wiley +1 more source
Improving Semantic Information Retrieval Using Multinomial Naive Bayes Classifier and Bayesian Networks [PDF]
, 2023 Wiem Chebil +4 more
openalex +1 more source
Bayesian Information Extraction Network
, 2003 Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs are applicable to probabilistic language modeling.
Peshkin, Leonid, Pfeffer, Avi
core +5 more sources