Results 81 to 90 of about 511,753 (356)
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
Advanced Intelligent Systems, EarlyView.This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 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
Bayesian Nonparametric Hidden Semi-Markov Models
, 2012 There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the ubiquitous Hidden Markov Model for learning from sequential and time-series data.
Johnson, Matthew J., Willsky, Alan S.
core
Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems
Advanced Intelligent Systems, EarlyView.This work presents a hierarchical multi‐manipulator planner, emphasizing highly overlapping space. The proposed method leverages an enhanced Dynamic Movement Primitive based planner along with an improvised Multi‐Agent Reinforcement Learning approach to ensure regulatory and mediatory control while ensuring low‐level autonomy. Experiments across varied
Tian Xu, Siddharth Singh, Qing Chang
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
Hidden Markov Models in Speech Recognition
Advances in Electrical and Electronic Engineering, 2008 Voice control is one of the perspective areas of interdisciplinary field called Human Machine Interface (HMI). By the voice control of machines, we usually deal with the recognition of commands from previously defined set.
Jan Krajcovic +2 more
doaj
HIDDEN MARKOV MODELS FOR SOFTWARE PIRACY DETECTION [PDF]
, 2012 The unauthorized copying of software is often referred to as software piracy. Soft- ware piracy causes billions of dollars of annual losses for companies and governments worldwide. In this project, we analyze a method for detecting software piracy.
Kazi, Shabana
core +1 more source
Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model [PDF]
, 2020 Ding Zhou, Yuanjun Gao, Liam Paninski
openalex +1 more source
Learning Dependencies of Discrete Speech Representations with Neural Hidden Markov Models [PDF]
, 2022 Sung-Lin Yeh, Hao Tang
openalex +1 more source