Results 81 to 90 of about 8,467,026 (293)
Business Strategy and the Environment, EarlyView.ABSTRACT Environmental sustainability and the broader Environmental, Social and Governance (ESG) agenda have become prominently proclaimed organisational priorities, yet their integration into core decision‐making remains uneven. While greenwashing research has largely focused on communication and disclosure, it has paid less attention to the internal ...
Olayiwola Oladiran +4 more
wiley +1 more source
Markov Observation Models and Deepfakes
MathematicsHerein, expanded Hidden Markov Models (HMMs) are considered as potential deepfake generation and detection tools. The most specific model is the HMM, while the most general is the pairwise Markov chain (PMC). In between, the Markov observation model (MOM)
Michael A. Kouritzin
doaj +1 more source
The Application of Baum-Welch Algorithm in Multistep Attack
The Scientific World Journal, 2014 The biggest difficulty of hidden Markov model applied to multistep attack is the determination of observations. Now the research of the determination of observations is still lacking, and it shows a certain degree of subjectivity.
Yanxue Zhang, Dongmei Zhao, Jinxing Liu
doaj +1 more source
Antimicrobial Peptides and Peptidomimetics in Foods – A Synthetic Foray
ChemFoodChem, EarlyView.This Review discusses AMPs in foods and their syntheses. It espouses facile methods to make them accessible and suggests their utility in the mitigation and eradication of the burgeoning maladies of antimicrobial and multidrug resistance (AMR and MDR).
Josephat U. Izunobi +2 more
wiley +1 more source
Diagram recognition using hidden Markov models [PDF]
, 2003 User input interfaces are quickly become more natural and intuative, relying less and less on the traditional mouse and keyboard interface, and moving towards a pen based input system.
Wardhani, Aster W., Henry, David W.
core
Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions
Canadian Journal of Statistics, EarlyView.Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley +1 more source
Hidden Markov models with spectral features for 2D shape recognition [PDF]
, 2001 We present a technique using Markov models with spectral features for recognizing 2D shapes. We analyze the properties of Fourier spectral features derived from closed contours of 2D shapes and use these features for 2D pattern recognition.
Cai, Jinhai, Liu, Zhi-Qiang
core +1 more source
extBatchMarking: An R package for hidden Markov models for extended batch data
Canadian Journal of Statistics, EarlyView.Abstract We describe a new R package for extended batch‐mark methods. Extended batch marking is a valuable and efficient technique for estimating population sizes and survival probabilities of wild animals. It assigns the same identifier to a group of animals simultaneously, allowing researchers to track their survival over time.
Kehinde Olobatuyi +4 more
wiley +1 more source
Bayesian nonparametric hidden Markov models with application to the analysis of copy-number-variation in mammalian genomes [PDF]
, 2009 We consider the development of Bayesian Nonparametric methods for product partition models such as Hidden Markov Models and change point models.
Yau, C. +3 more
core
Using hidden Markov models to deal with availability bias on line transect surveys [PDF]
, 2013 This work was supported by EPSRC grant EP/I000917/1We develop estimators for line transect surveys of animals that are stochastically unavailable for detection while within detection range.
Heide-Jorgensen, M. P. +15 more
core +1 more source