Modeling speech signals in the time-frequency domain using GARCH
Signal Processing
Exploring the state sequence space for hidden Markov and semi-Markov chains
Computational Statistics & Data Analysis
EURASIP Journal on Applied Signal Processing
On the entropy of a hidden Markov process
Theoretical Computer Science
A Comparative Study of Machine Learning Methods for Detecting Promoters in Bacterial DNA Sequences
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Querying web-based applications under models of uncertainty
Proceedings of the VLDB Endowment
ECG segmentation in a body sensor network using adaptive hidden Markov models
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
A hierarchical approach for planning a multisensor multizone search for a moving target
Computers and Operations Research
Bayesian posterior mean estimates for Poisson hidden Markov models
Computational Statistics & Data Analysis
Tracking and identification of regime-switching systems using binary sensors
Automatica (Journal of IFAC)
Prediction of hemoglobin structure from DNA sequence through neural network and hidden Markov model
CIMMACS'08 Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Modelling Stem Cells Lineages with Markov Trees
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Universal Estimation of Information Measures for Analog Sources
Foundations and Trends in Communications and Information Theory
Hidden hybrid Markov/semi-Markov chains
Computational Statistics & Data Analysis
An EM algorithm for Markov modulated Markov processes
IEEE Transactions on Signal Processing
hsmm - An R package for analyzing hidden semi-Markov models
Computational Statistics & Data Analysis
On the memory complexity of the forward-backward algorithm
Pattern Recognition Letters
On the entropy rate of hidden Markov processes observed through arbitrary memoryless channels
IEEE Transactions on Information Theory
Joint universal lossy coding and identification of stationary mixing sources with general alphabets
IEEE Transactions on Information Theory
Characterization of ergodic hidden Markov sources
IEEE Transactions on Information Theory
On analytic properties of entropy rate
IEEE Transactions on Information Theory
HMM Approach for Classifying Protein Structures
FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
Discrete denoising with shifts
IEEE Transactions on Information Theory
Simultaneous localization and mapping in dense environments
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A comparison of techniques for on-line incremental learning of HMM parameters in anomaly detection
CISDA'09 Proceedings of the Second IEEE international conference on Computational intelligence for security and defense applications
A new multi-layers method to analyze gene expression
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
On maximum a posteriori estimation of hidden Markov processes
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Norm-observable operator models
Neural Computation
Performance analysis of speech enhancement algorithm for robust speech recognition system
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
A constructive proof of the existence of Viterbi processes
IEEE Transactions on Information Theory
Hidden Markov models with arbitrary state dwell-time distributions
Computational Statistics & Data Analysis
IEEE Transactions on Information Theory
Modelling patterns of evidence in Bayesian networks: a case-study in classical swine fever
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Mining and monitoring patterns of daily routines for assisted living in real world settings
Proceedings of the 1st ACM International Health Informatics Symposium
Consistency of feature Markov processes
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
IEEE Transactions on Information Theory
Multivariate linear recursions with Markov-dependent coefficients
Journal of Multivariate Analysis
Mining named entities with temporally correlated bursts from multilingual web news streams
Proceedings of the fourth ACM international conference on Web search and data mining
Discrete Applied Mathematics
Automatic word spacing of erroneous sentences in mobile devices with limited hardware resources
Information Processing and Management: an International Journal
EAGLE: engineering software in the ubiquitous globe by leveraging uncErtainty
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Unsupervised segmentation of hidden semi-Markov non-stationary chains
Signal Processing
Adaptive ROC-based ensembles of HMMs applied to anomaly detection
Pattern Recognition
Computers and Industrial Engineering
Markov-switching autoregressive models for wind time series
Environmental Modelling & Software
A survey of techniques for incremental learning of HMM parameters
Information Sciences: an International Journal
An EM algorithm for continuous-time bivariate Markov chains
Computational Statistics & Data Analysis
Integration architecture synthesis for taming uncertainty in the digital space
Proceedings of the 17th Monterey conference on Large-Scale Complex IT Systems: development, operation and management
Unsupervised data classification using pairwise Markov chains with automatic copulas selection
Computational Statistics & Data Analysis
Methodological Review: Biomedical text mining and its applications in cancer research
Journal of Biomedical Informatics
Remarks on the entropy of sofic dynamical system of Blackwell's type
Journal of Dynamical and Control Systems
Joint source and sending rate modeling in adaptive video streaming
Image Communication
Environmental Modelling & Software
Producing software by integration: challenges and research directions (keynote)
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
Replication of the bursty behavior of indoor WLAN channels
Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques
An autonomous and intelligent expert system for residential water end-use classification
Expert Systems with Applications: An International Journal
Airwriting: a wearable handwriting recognition system
Personal and Ubiquitous Computing
| Hi-index | 755.32 |
An overview of statistical and information-theoretic aspects of hidden Markov processes (HMPs) is presented. An HMP is a discrete-time finite-state homogeneous Markov chain observed through a discrete-time memoryless invariant channel. In recent years, the work of Baum and Petrie (1966) on finite-state finite-alphabet HMPs was expanded to HMPs with finite as well as continuous state spaces and a general alphabet. In particular, statistical properties and ergodic theorems for relative entropy densities of HMPs were developed. Consistency and asymptotic normality of the maximum-likelihood (ML) parameter estimator were proved under some mild conditions. Similar results were established for switching autoregressive processes. These processes generalize HMPs. New algorithms were developed for estimating the state, parameter, and order of an HMP, for universal coding and classification of HMPs, and for universal decoding of hidden Markov channels. These and other related topics are reviewed