Results 41 to 50 of about 3,453 (181)
Application of Hidden Markov Model in Malicious Domain Name Detection [PDF]
Jisuanji gongcheng, 2019 A malicious domain name detection method based on Hidden Markov Model(HMM) is proposed.The characteristics of good and evil domain name in DNS communication are analyzed,and the attribute characteristics are counted by using the efficient computing power
BAI Lingling, NING Zhenhu, XUE Fei, YANG Yongli
doaj +1 more source
Human Brain Mapping, Volume 47, Issue 2, February 1, 2026.Artificial intelligence has the potential to enhance clinical decision making, but complex black box models can be difficult to interpret and trust. Explainable artificial intelligence methods aim to open the black box by highlighting which features are driving the model's prediction.
Sophie A. Martin +7 more
wiley +1 more source
A temporally abstracted Viterbi algorithm
, 2012 Hierarchical problem abstraction, when applicable, may offer exponential reductions in computational complexity. Previous work on coarse-to-fine dynamic programming (CFDP) has demonstrated this possibility using state abstraction to speed up the Viterbi algorithm. In this paper, we show how to apply temporal abstraction to the Viterbi problem.
Chatterjee, Shaunak, Russell, Stuart
openaire +2 more sources
The Viterbi Algorithm for Subset Selection [PDF]
IEEE Signal Processing Letters, 2015 We study the problem of sparse recovery in an overcomplete dictionary. This problem has attracted considerable attention in signal processing, statistics, and computer science, and a variety of algorithms have been developed to recover the sparse vector.
Shay Maymon, Yonina C. Eldar
openaire +1 more source
Robotic Cell Micromanipulation Skill Learning via Imitation‐Enhanced Reinforcement Learning
CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 123-136, February 2026.ABSTRACT Humans can learn complex and dexterous manipulation tasks by observing videos, imitating and exploring. Multiple end‐effectors manipulation of free micron‐sized deformable cells is one of the challenging tasks in robotic micromanipulation. We propose an imitation‐enhanced reinforcement learning method inspired by the human learning process ...
Youchao Zhang +6 more
wiley +1 more source
Named Entity Recognition Model Based on k-best Viterbi Decoupling Knowledge Distillation [PDF]
Jisuanji kexue yu tansuoKnowledge distillation is a general approach to improve the performance of the named entity recognition (NER) models. However, the classical knowledge distillation loss functions are coupled, which leads to poor logit distillation.
ZHAO Honglei, TANG Huanling, ZHANG Yu, SUN Xueyuan, LU Mingyu
doaj +1 more source
SYNCHRONIZATION RECOVERY WHEN DECODING MESSAGES USING A MODIFIED VITERBI DECODING ALGORITHM
Известия высших учебных заведений. Поволжский регион:Технические науки, 2020 Background. Modern data transmission systems using cryptographic methods of information protection require high reliability and quality of information transmission. The object of research is protected data transmission systems. The subject of research
Yu. Yu. Sinitsyn, A. B. Sizonenko
doaj +1 more source
Free‐breathing 3D pulmonary ventilation mapping at 0.55 T using stack‐of‐spiral out‐in bSSFP
Magnetic Resonance in Medicine, Volume 95, Issue 1, Page 430-441, January 2026.Abstract Purpose To develop a free‐breathing pulmonary imaging technique that provides three‐dimensional (3D) structural images and regional ventilation maps, and to evaluate its repeatability and accuracy compared with two‐dimensional phase‐resolved functional lung (PREFUL) and global tidal volume.
Ziwei Zhao +7 more
wiley +1 more source
Divergence coding for convolutional codes
MATEC Web of Conferences, 2017 In the paper we propose a new coding/decoding on the divergence principle. A new divergent multithreshold decoder (MTD) for convolutional self-orthogonal codes contains two threshold elements.
Valery Zolotarev +4 more
doaj +1 more source
Log-Viterbi algorithm applied on second-order hidden Markov model for human activity recognition
International Journal of Distributed Sensor Networks, 2018 Recognition of human activities is getting into the limelight among researchers in the field of pervasive computing, ambient intelligence, robotic, and monitoring such as assistive living, elderly care, and health care.
Yang Sung-Hyun +3 more
doaj +1 more source