Results 91 to 100 of about 1,294,144 (288)
Estimation of a closed population size of tadpoles in temporary pond
The practice of capture-recapture to estimate the diversity is well known to many animal groups, however this practice in the larval phase of anuran amphibians is incipient.
M. S. C. S. Lima +2 more
doaj +1 more source
Statistical Science and Philosophy of Science: Whrer Do / Should They Meet in 2011 (and Beyond)? [PDF]
philosophy of science, philosophy of statistics, decision theory, likelihood, subjective probability, Bayesianism, Bayes theorem, Fisher, Neyman and Pearson, Jeffreys, induction, frequentism, reliability ...
Deborah Mayo
core
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson +4 more
wiley +1 more source
In machine learning, the Bayes classifier represents the theoretical optimum for minimizing classification errors. Since estimating high-dimensional probability densities is impractical, simplified approximations such as naïve Bayes and k-nearest ...
Quirin Stier +2 more
doaj +1 more source
Profession recommendation based on multiple intelligence for high school students [PDF]
One of the problems students often face is the lack of understanding of their interests and talents which will cause confusion in making future study choices and career plans.
Heribertus Ary Setyadi +3 more
doaj +1 more source
Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations
ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim +3 more
wiley +1 more source
Klasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes
This research conducted the classification process by applying the method of classification of Naive Bayes. News article document is one form of text data that is not structured so that requires the process of cleaning data and pre-processing first.
Laili Wahyunita
doaj +1 more source
Enabling Accurate Indoor Localization Using a Machine Learning Algorithm
In this paper, fingerprint referencing methods based on wireless fidelity Wi-Fi received signal strength (RSS) have used for indoor positioning. More precisely, Naïve Bayes, decision tree (DT), and support vector machine (SVM) one-to-one multi-classes ...
Haidar Abdulrahman Abbas +1 more
doaj +1 more source
On surrogate loss functions and $f$-divergences
The goal of binary classification is to estimate a discriminant function $\gamma$ from observations of covariate vectors and corresponding binary labels.
Jordan, Michael I. +2 more
core +4 more sources
ABSTRACT Sustainable development transforms production systems, requiring integrated environmental, social, and economic strategies. Energy systems are key agro‐industrial supply chains in developing countries. Brazil's soybean supply chain impacts Gross Domestic Product, mainly through exports.
Aline Veronese da Silva +3 more
wiley +1 more source

