Results 51 to 60 of about 203,293 (263)
Journal of Electrical Systems and Information Technology, 2017 This paper presents an analytical approach of an offline handwritten Arabic text recognition system. It is based on the Hidden Markov Models (HMM) Toolkit (HTK) without explicit segmentation. The first phase is preprocessing, where the data is introduced
El Moubtahij Hicham +2 more
doaj +1 more source
Propositionalisation of multiple sequence alignments using probabilistic models [PDF]
, 2008 Multiple sequence alignments play a central role in Bioinformatics. Most alignment representations are designed to facilitate knowledge extraction by human experts.
Holmes, Geoffrey +2 more
core +2 more sources
Parameter estimation in pair hidden Markov models
, 2005 This paper deals with parameter estimation in pair hidden Markov models (pair-HMMs). We first provide a rigorous formalism for these models and discuss possible definitions of likelihoods.
Baum L. +5 more
core +4 more sources
Advanced Experiment Design Strategies for Drug Development
Advanced Intelligent Discovery, EarlyView.Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Dynamic Bayesian Networks for Audio-Visual Speech Recognition
EURASIP Journal on Advances in Signal Processing, 2002 The use of visual features in audio-visual speech recognition (AVSR) is justified by both the speech generation mechanism, which is essentially bimodal in audio and visual representation, and by the need for features that are invariant to acoustic noise
Liang Luhong +4 more
doaj +1 more source
Finite State Transducers Approximating Hidden Markov Models
, 1997 This paper describes the conversion of a Hidden Markov Model into a sequential transducer that closely approximates the behavior of the stochastic model.
Kempe, Andre
core +2 more sources
Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Trigonometric words ranking model for spam message classification
IET Networks, EarlyView., 2022 Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source
Using Hidden Markov Chains in Recognition of Vowel Letters in English Language [PDF]
المجلة العراقية للعلوم الاحصائية, 2006 This study deals with hidden Markov models . These models consist of sets of finite states , each one of them is associated with a probability distribution .
doaj +1 more source
Asymptotic operating characteristics of an optimal change point detection in hidden Markov models
, 2005 Let \xi_0,\xi_1,...,\xi_{\omega-1} be observations from the hidden Markov model with probability distribution P^{\theta_0}, and let \xi_{\omega},\xi_{\omega+1},...
Fuh, Cheng-Der
core +1 more source