Results 121 to 130 of about 4,346 (236)
Abstract figure legend High‐altitude acclimatisation increases muscle sympathetic nerve activity (MSNA) via activation of the arterial chemoreflex, pulmonary arterial baroreceptors and resetting of the sympathetic vascular baroreflex. However attempting to silence these mechanisms only partially normalises MSNA, implicating other contributory ...
Liam D. Corr +15 more
wiley +1 more source
Track-before-detect labeled multi-bernoulli particle filter with label switching
This paper presents a multitarget tracking particle filter for general track-before-detect measurement models. The particle filter is presented in the random-finite-set framework and uses a labeled multi-Bernoulli approximation.
Garcia-Fernandez, AF
core +1 more source
Earthquake and Tsunami NaTech Risk Assessment for Oil Storage Facilities
ABSTRACT Interaction of natural and technological hazards (NaTech) events, such as tsunamis and earthquakes, can affect industrial facilities such as those featuring anchored atmospheric storage tanks. Consequences of natural events on this kind of installation may include the release of hazardous substances, which in turn can lead to industrial ...
Georgios Baltzopoulos +6 more
wiley +1 more source
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch +3 more
wiley +1 more source
Boundary Vector Cells Encode a Future‐Biased Spectrum of Positions in the Rat
ABSTRACT Spatial tuning is a hallmark property of neural firing in the hippocampal formation. Yet, that tuning is often less well correlated with the instantaneous current position of an animal than it is with an integrated version of the past or future state of the animal.
Ehren Lee Newman +3 more
wiley +1 more source
Early Life Stress Affects Human Decision Making by Increasing Expectations of Volatility
ABSTRACT People learn most effectively when they can flexibly modify strategies to accommodate environmental changes. Here, we explore how chronic early life stress influences the ways individuals weight and prioritize new information when making decisions. To do so, we examined the choices of 11–16‐year‐old children in a reward learning task. Children
Karen E. Smith +4 more
wiley +1 more source
Variational Bayesian labeled multi-Bernoulli filter with unknown sensor noise statistics
It is difficult to build accurate model for measurement noise covariance in complex backgrounds. For the scenarios of unknown sensor noise variances, an adaptive multi-target tracking algorithm based on labeled random finite set and variational Bayesian (
Hao, Qiu, Gaoming, Huang, Jun, Gao
core +1 more source
Markov Determinantal Point Process for Dynamic Random Sets
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley +1 more source
A forward-backward smoothing algorithm for extended object tracking based on the PMBM filter
This paper introduces an advanced extended object tracking algorithm developed within the random finite sets (RFS) framework, utilizing a Poisson multi-Bernoulli mixture (PMBM) filter with forward-backward smoothing capabilities.
Xingxiang Xie +3 more
doaj +1 more source
Spam Filter Menggunakan Model Klasifikasi Multivariate Bernoulli dan Multinomial Naïve Bayes
Pertumbuhan pengguna email memicu peningkatan spam email sehingga diperlukan teknik spam filter. Model klasifikasi Naïve Bayes (NB) adalah salah satu metode supervised learning yang dapat digunakan untuk spam filter karena tingkat akurasi yang tinggi dan
Fadillah, Denis
core

