Results 41 to 50 of about 203,140 (297)

A Generic Clustering-Based Algorithm for Approximating IOHMM Topology and Parameters

IEEE Access, 2021
In this paper, a novel generic clustering-based algorithm for approximating the topology and the parameters of discrete state space Input/Output Hidden Markov Models (IOHMMs) with continuous observation spaces is introduced. The algorithm can accommodate
Gerald Rocher, Jean-Yves Tigli, Stephane Lavirotte   +2 more
doaj   +1 more source

Quantum Mechanics and Imprecise Probability [PDF]

Journal of Statistical Physics, 2008
An extension of the Born rule, the {\it quantum typicality rule}, has recently been proposed [B. Galvan: Found. Phys. 37, 1540-1562 (2007)]. Roughly speaking, this rule states that if the wave function of a particle is split into non-overlapping wave packets, the particle stays approximately inside the support of one of the wave packets, without ...
openaire   +3 more sources

Robust regression with imprecise data [PDF]

, 2011
We consider the problem of regression analysis with imprecise data. By imprecise data we mean imprecise observations of precise quantities in the form of sets of values.
Wiencierz, Andrea, Cattaneo, Marco E. G. V.   +1 more
core   +1 more source

A Robust Dynamic Classifier Selection Approach for Hyperspectral Images with Imprecise Label Information

Sensors, 2020
Supervised hyperspectral image (HSI) classification relies on accurate label information. However, it is not always possible to collect perfectly accurate labels for training samples.
Meizhu Li, Shaoguang Huang, Jasper De Bock, Gert de Cooman, Aleksandra Pižurica   +4 more
doaj   +1 more source

Equalizing imbalanced imprecise datasets for genetic fuzzy classifiers [PDF]

International Journal of Computational Intelligence Systems, 2012
Determining whether an imprecise dataset is imbalanced is not immediate. The vagueness in the data causes that the prior probabilities of the classes are not precisely known, and therefore the degree of imbalance can also be uncertain.
AnaM. Palacios, Luciano Sánchez, Inés Couso   +2 more
doaj   +1 more source

Collaborative Decision Model for Allocating Intensive Care Units Beds with Scarce Resources in Health Systems: A Portfolio Based Approach under Expected Utility Theory and Bayesian Decision Analysis

Mathematics, 2023
The COVID-19 pandemic has brought health systems to the brink of collapse in several regions around the world, as the demand for health care has outstripped the capacity of their services, especially regarding intensive care.
Eduarda Asfora Frej, Lucia Reis Peixoto Roselli, Alexandre Ramalho Alberti, Murilo Amorim Britto, Evônio de Barros Campelo Júnior, Rodrigo José Pires Ferreira, Adiel Teixeira de Almeida   +6 more
doaj   +1 more source

Neural correlates of decision-making under ambiguity and conflict

Frontiers in Behavioral Neuroscience, 2015
Studies of decision making under uncertainty generally focus on imprecise information about outcome probabilities (ambiguity). It is not clear, however, whether conflicting information about outcome probabilities affects decision making in the same ...
Helen ePushkarskaya, Michael eSmithson, Jane Elizabeth Joseph, Christine eCorblye, Ifat eLevy   +4 more
doaj   +1 more source

Introduction to the Theory of Imprecise Probability [PDF]

, 2021
AbstractThe theory of imprecise probability is a generalization of classical ‘precise’ probability theory that allows modeling imprecision and indecision. This is a practical advantage in situations where a unique precise uncertainty model cannot be justified.
openaire   +1 more source

Safety and Efficacy of GLP‐1 Receptor Agonists in Adults With Epilepsy, Obesity, and Type 2 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Managing obesity in patients with epilepsy is complicated by the weight‐gaining properties of essential antiseizure medications (ASMs) such as valproate and pregabalin. We evaluated the safety and efficacy of initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) in this population.
Hyoshin Son, Inyoung Hwang, Sang Won Lee, Yun Kim   +3 more
wiley   +1 more source

Compositional imprecise probability

CoRR
Conditionally accepted for POPL ...
Jack Liell-Cock, Sam Staton
openaire   +3 more sources