Meta learning of bounds on the Bayes classifier error
Meta learning uses information from base learners (e.g. classifiers or estimators) as well as information about the learning problem to improve upon the performance of a single base learner.
Delouille, Veronique +2 more
core +1 more source
Dietary habits play a key role in chronic diseases, and higher annual consumption of fruit and vegetable may lower risk of dementia. Artificial intelligence predicts the lipid‐like compound α‐Amyrin (αA) from plants with edible peels as a drug candidate against Alzheimer's disease.
Shu‐Qin Cao +36 more
wiley +1 more source
Using Auxiliary Item Information in the Item Parameter Estimation of a Graded Response Model for a Small to Medium Sample Size: Empirical Versus Hierarchical Bayes Estimation. [PDF]
Naveiras M, Cho SJ.
europepmc +1 more source
BAYES RISKS OF ESTIMATORS OF ESTIMABLE PARAMETERS [PDF]
For the estimable parameter of degree 2, throughout this paper, we consider 02 with h2 such that h2(x, x) and h2(x, x)=0 for any x, yEX. As estimators of estimable parameters, U-statistics and differentiable statistical functions are well known. (See, for example, Hoeffding (1948) and von Mises (1947).) For an estimable parameter of degree 1, the U ...
openaire +2 more sources
The Dirichet-Multinomial model for multivariate randomized response data and small samples [PDF]
In survey sampling the randomized response (RR) technique can be used to obtain truthful answers to sensitive questions. Although the individual answers are masked due to the RR technique, individual (sensitive) response rates can be estimated when ...
Avetisyan, M., Fox, G.J.A.
core +1 more source
The Gut Microbiota Regulates Motor Deficits via Butyrate in a Gnal+/− Mouse Model of DYT25 Dystonia
The present study provides compelling evidence for a modulatory role of the gut microbiota in the pathology of DYT25 dystonia, and butyrate supplementation alleviates the motor deficits of dystonia in Gnal+/− mice. Abstract Dystonia is the third most common movement disorder, following essential tremor and Parkinson's disease. The underlying mechanisms
Jingya Guo +3 more
wiley +1 more source
PERBANDINGAN ESTIMASI KEMAMPUAN LATEN ANTARA METODE MAKSIMUM LIKELIHOOD DAN METODE BAYES
Studi ini bertujuan untuk membandingkan ketepatan estimasi kemampuan laten (latent trait) pada model logistik dengan metode maksimum likelihood (ML) gabungan dan bayes.
Heri Retnawati
doaj
A possibilistic analogue to Bayes estimation with fuzzy data and its application in machine learning. [PDF]
Arefi M, Viertl R, Taheri SM.
europepmc +1 more source
Bayes and empirical Bayes: do they merge?
Bayesian inference is attractive for its coherence and good frequentist properties. However, it is a common experience that eliciting a honest prior may be difficult and, in practice, people often take an {\em empirical Bayes} approach, plugging ...
Petrone, Sonia +2 more
core +1 more source
Early Detection of Cell Death Using Transmembrane Water Exchange Magnetic Resonance Imaging
Cell death is important in both the development and treatment of cancer. In this study, it is demonstrated for the first time that a specific measurement of the transmembrane water exchange rate using magnetic resonance imaging can be used as an early marker of cell death in mammalian cells, in animals and in human patients. Abstract Cell death plays a
Athanasia Kaika +22 more
wiley +1 more source

