Results 131 to 140 of about 213,693 (303)

Public Emotions and Climate Change Awareness: Understanding Shifting Perceptions for Sustainable Futures

Business Strategy and the Environment, EarlyView.
ABSTRACT Understanding the evolving emotional landscape surrounding climate change is critical for developing effective environmental strategies and communication. This study offers an analysis of public emotions toward human‐induced climate change by leveraging big data analytics and machine learning techniques on social media content from platform X.
Qingfeng Tian, Gorkem Sarp, Narges Siamian, Farid Shirazi, Tahir M. Nisar, Nick Hajli   +5 more
wiley   +1 more source

ALGORITMA NAÏVE BAYES UNTUK MELIHAT FAKTOR-FAKTOR YANG MEMPENGARUHI KULIT TERBAKAR

Jurnal Sistem Informasi, 2016
Abstract— The skin is the most outer part of the body that has a strategic position for all living creatures, especially humans. How to know the parts of the burned skin can be classified with method Simple Naïve Bayesian algorithm based on attributes attributes Heir, Height, Weight, Lotion.
openaire   +1 more source

Mitigating measurement error in misspecified small area models

Canadian Journal of Statistics, EarlyView.
Abstract In the framework of Small area estimation, we consider an area‐level model where a subset of covariates is measured with error. The extent of the error is assumed to be constant throughout the areas, and it is expressed by a scalar parameter γ$$ \gamma $$, which multiplies the deterministic covariance matrix of the estimator of the true ...
Diego Battagliese, Serena Arima, Brunero Liseo, Alessio Pollice   +3 more
wiley   +1 more source

Weighted naïve bayes multi-user classification for adaptive authentication

Journal of Physics Communications
Machine learning classification algorithms have been extensively utilized in addressing user authentication challenges. Nonetheless, a majority of solutions categorize users into three classes, whereas adaptive authentication scenarios necessitate ...
Prudence M Mavhemwa, Marco Zennaro, Philibert Nsengiyumva, Frederic Nzanywayingoma   +3 more
doaj   +1 more source

Naïve Bayes classifier.

, 2014
Training set and test set errors are shown for each combination of type of distribution of data and prior class probabilities. Lowest error rate is ∼33% for training set and ∼57% for test set when kernel distribution is used to model the data.Naïve Bayes
Varsha Dhankani (655387), Joshua T. Schiffer (430730), J. Nathan Kutz (655388)   +2 more
core   +1 more source

Prediction of Acute Liver Injury Trajectory in Patients Following Acetaminophen Overdose: A Multibiomarker Machine Learning Proof‐of‐Concept Study

Clinical Pharmacology &Therapeutics, EarlyView.
Clinical translation of novel therapies can be hindered by heterogeneity‐driven sample size inflation in late‐stage trials. In acetaminophen‐induced liver injury (APAP DILI), many patients recover spontaneously, diluting investigational drug efficacy signals.
Chris Humphries, Alastair M. Kilpatrick, Kathleen M. Scullion, Rhona Aird, Lorraine Bruce, Maria Elena Candela, Tak Yung Man, Stuart J. Forbes, James W. Dear   +8 more
wiley   +1 more source

CUSTOMER BEHAVIOR PREDICTION USING NAÏVE BAYES [PDF]

In the business world, knowing the behavior of each user or customer is an important and crucial thing. The main reason that makes customer behavior and habits important is because by paying attention to customer behavior, businesses can provide the ...
VIVIAN.C, ELISABET STEVANI
core   +1 more source

Time‐Dependent Bias and Prognostic Confounding in Exposure–Response Analysis of Targeted Therapies: Lessons from Sunitinib in Metastatic Renal Cancer

Clinical Pharmacology &Therapeutics, EarlyView.
Exposure–response (E–R) analyses of sunitinib in metastatic renal cell carcinoma (mRCC) have supported concentration‐guided dose escalation. However, such analyses may be biased when exposure metrics incorporate post‐baseline dose modifications, time‐varying apparent clearance, or baseline factors that influence both pharmacokinetics and clinical ...
Han Liu, Lena E. Friberg
wiley   +1 more source

From Dictionaries to Deep Learning: A Systematic Mapping Review of the Natural Language Processing Tasks Used to Analyze Sustainability Reports

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study aims at shedding light on the vast landscape of natural language processing (NLP) tasks used when analyzing sustainability reports or sustainability within integrated annual reports. A systematic literature review is carried out, identifying 160 studies of relevance.
Hannes Cordes
wiley   +1 more source

Empirical Evaluation of Semi-Supervised Naïve Bayes for Active Learning [PDF]

, 2018
This thesis describes an empirical evaluation of semi-supervised and active learning individually, and in combination for the naïve Bayes classifier. Active learning aims to minimise the amount of labelled data required to train the classifier by using ...
Saeed, Awat Abdulla
core   +1 more source