Results 101 to 110 of about 241,041 (317)

Convolutional Neural Networks Grid Search Optimizer Based Brain Tumor Detection

International Transactions on Electrical Engineering and Computer Science, 2023
The brain tissues segmented by MRI and CT provide a more accurate viewpoint on diagnosing various brain illnesses. Many different segmentation approaches may be used to brain MRI images.
Pushpak Kurella
doaj  

Bayesian inference for Hidden Markov Model [PDF]

Hidden Markov Models can be considered an extension of mixture models, allowing for dependent observations. In a hierarchical Bayesian framework, we show how Reversible Jump Markov Chain Monte Carlo techniques can be used to estimate the parameters of ...
Luisa Scaccia, Rosella Castellano
core   +1 more source

Mortality Forecasting Using Variational Inference

Journal of Forecasting, EarlyView.
ABSTRACT This paper considers the problem of forecasting mortality rates. A large number of models have already been proposed for this task, but they generally have the disadvantage of either estimating the model in a two‐step process, possibly losing efficiency, or relying on methods that are cumbersome for the practitioner to use.
Patrik Andersson, Mathias Lindholm
wiley   +1 more source

How to detect the life cycle of technology in the domain of endoscopy based on the hidden Markov model [PDF]

کتابداری و اطلاع‌رسانی, 2017
Purpose: This study aimed to identify how to diagnose technology life cycle of endoscopy by using data patents and hidden Markov model. Methodology: This applied research was conducted through a descriptive approach using exploratory method.
Ali Mansoori, Maryam Mohammadpour, Saeed Hayati   +2 more
doaj  

Application of Hidden Markov Models in Stock Forecasting

, 2022
Menghan Yu, Panji Wang, Tong Wang
openalex   +2 more sources

Erratum: Search for gravitational waves from Scorpius X-1 in the first Advanced LIGO observing run with a hidden Markov model [Phys. Rev. D 95, 122003 (2017)] [PDF]

, 2021
B. P. Abbott
openalex   +1 more source

Non singularity of the asymptotic Fisher information matrix in hidden Markov models

, 2005
In this paper, we consider a parametric hidden Markov model where the hidden state space is non necessarily finite. We provide a necessary and sufficient condition for the invertibility of the limiting Fisher information ...
Douc, Randal
core   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

Fast bootstrap and reliable readout using hidden references for DNA data storage

iMeta, EarlyView.
This study provides a bootstrap readout framework for DNA data storage based on multiple‐fold hidden references. We employ a multi‐stage alignment and error correction strategy, transforming the de novo readout into a resequencing‐like workflow. Correlation to the hidden watermark reference identifies low‐error‐rate reads, and bit‐wise consensus ...
Weigang Chen, Shuang Liu, Quan Guo, Rui Qin, Qi Ge, Tingting Qi, Yingjin Yuan   +6 more
wiley   +1 more source

Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome

Genetics and Molecular Biology, 2003
Dependencies in DNA sequences are frequently modeled using Markov models. However, Markov chains cannot account for heterogeneity that may be present in different regions of the same DNA sequence.
Silva Cibele Q. da
doaj