Results 11 to 20 of about 5,416,756 (285)
Uncertainty Estimation in Predicting River Discharge Using Probabilistic Machine Learning and Conformal Prediction [PDF]
SensorsReliable streamflow forecasting with quantified uncertainty is essential for water resource management, flood mitigation, and climate adaptation in semi-arid regions.
Erfan Abdi +4 more
doaj +2 more sources
Radiomics-Based Machine Learning with Natural Gradient Boosting for Continuous Survival Prediction in Glioblastoma [PDF]
Cancers(1) Background: Glioblastoma (GBM) is the most common primary malignant brain tumor in adults, with an aggressive disease course that requires accurate prognosis for individualized treatment planning. This study aims to develop and evaluate a radiomics-based machine learning (ML) model to estimate overall survival (OS) for patients with GBM using pre ...
Mert Karabacak +4 more
openaire +3 more sources
Journal of Materials Research and Technology, 2023 The requirement of the construction sector pushes researchers and academicians to determine the 28-day concrete compressive strength due to less consumption of natural products and reduced cost.
P. Jagadesh +3 more
doaj +1 more source
A Hybrid Approach for Predicting Corporate Financial Risk: Integrating SMOTE-ENN and NGBoost
IEEE Access, 2023 The financial condition of an enterprise is a critical factor in determining its viability and long-term prospects, and it also directly affects the interests of stakeholders such as investors and creditors.
Yikun Zhu +5 more
doaj +1 more source
Applied Sciences, 2023 Psycholinguistic properties such as concept familiarity and concreteness have been investigated in relation to technological innovations in teaching and learning.
Jingxiu Huang +6 more
doaj +1 more source
Comparison of Two Methods, Gradient Boosting and Extreme Gradient Boosting to Pre- dict Survival in Covid-19 Data [PDF]
, 2023 Introduction: The present study discusses the importance of having a predictive method to determine the prognosis of patients with diseases like Covid-19.
Nadiasadat Taghavi Razavizadeh +4 more
core +1 more source
NGBoost: Natural Gradient Boosting for Probabilistic Prediction
CoRR, 2019 We present Natural Gradient Boosting (NGBoost), an algorithm for generic probabilistic prediction via gradient boosting. Typical regression models return a point estimate, conditional on covariates, but probabilistic regression models output a full probability distribution over the outcome space, conditional on the covariates.
Tony Duan +6 more
openaire +3 more sources
Boosting the Anatomy of Volatility [PDF]
, 2012 Risk and, thus, the volatility of financial asset prices plays a major role in financial decision making and financial regulation. Therefore, understanding and predicting the volatility of financial instruments, asset classes or financial markets in ...
Mittnik, Stefan +2 more
core +1 more source
COVID-19 Infodemic in Malaysia: Conceptualizing Fake News for Detection
Advances in Multimedia, 2023 There is an “Infodemic” of COVID-19 in which there are a lot of rumours and information disorders spreading rapidly, the purpose of the study is to build a predictive model for identifying whether the COVID-19 information in the Malay language in ...
Chee Kuan Lim +3 more
doaj +1 more source
Forecasting with many predictors - Is boosting a viable alternative? [PDF]
, 2010 This paper evaluates the forecast performance of boosting, a variable selection device, and compares it with the forecast combination schemes and dynamic factor models presented in Stock and Watson (2006).
Wohlrabe, Klaus, Buchen, Teresa
core +1 more source