Efficient similarity search in sequence databases, Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms, FODO '93, pp.69-84, 1993. ,

Application of hidden markov models to multiple sclerosis lesion count data, Statistics in Medicine, vol.24, pp.2335-2344, 2005. ,

Analysis of an identification algorithm arising in the adaptive estimation of markov chains, Mathematics of Control, Signals and Systems, vol.3, pp.1-29, 1990. ,

Smooth on-line learning algorithms for hidden markov models, Neural Comput, vol.6, pp.307-318, 1994. ,

A maximization technique occurring in the statistical analysis of probabilistic functions of markov chains, The Annals of Mathematical Statistics, vol.41, pp.164-171, 1970. ,

Choosing starting values for the {EM} algorithm for getting the highest likelihood in multivariate gaussian mixture models, Computational Statistics & Data Analysis, pp.561-575, 2003. ,

Quasinewton method for maximum likelihood estimation of hidden markov models, Proceedings of the 1998 IEEE International Conference on, vol.4, pp.2265-2268, 1998. ,

On Stochastic Versions of the EM Algorithm, 1995. ,

URL : https://hal.archives-ouvertes.fr/inria-00074164

A classification {EM} algorithm for clustering and two stochastic versions, Computational Statistics & Data Analysis, vol.14, pp.315-332, 1992. ,

Efficient time series matching by wavelets, in Data Engineering, Proceedings., 15th International Conference on, pp.126-133, 1999. ,

On-line identification of hidden markov models via recursive prediction error techniques, IEEE Transactions on Signal Processing, vol.42, pp.3535-3539, 1994. ,

The open portal to thousands of datasets from leading global providers, 2013. ,

Maximum likelihood from incomplete data via the em algorithm, Journal of the Royal Statistical Society, series B, vol.39, pp.1-38, 1977. ,

, Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids, 1998.

Space-alternating generalized expectation-maximization algorithm, Signal Processing, IEEE Transactions on, vol.42, pp.2664-2677, 1994. ,

Incremental estimation of discrete hidden markov models based on a new backward procedure, Proceedings of the 20th National Conference on Artificial Intelligence, vol.2, pp.758-763, 2005. ,

Inline updates for hmms, Interspeech, ISCA, 2003. ,

Conjugate gradient acceleration of the em algorithm, Journal of the American Statistical Association, vol.88, pp.221-228, 1993. ,

Efficiently supporting ad hoc queries in large datasets of time sequences, Proceedings of the 1997 ACM SIGMOD international conference on Management of data, vol.97, pp.289-300, 1997. ,

On-line estimation of hidden markov model parameters based on the kullbackleibler information measure, IEEE Transactions on Signal Processing, vol.41, pp.2557-2573, 1993. ,

Recursive identification of hmms with observations in a finite set, in Decision and Control, Proceedings of the 34th IEEE Conference on, vol.1, pp.216-221, 1995. ,

A symbolic representation of time series, with implications for streaming algorithms, Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, DMKD '03, pp.2-11, 2003. ,

The ecme algorithm: A simple extension of em and ecm with faster monotone convergence, Biometrika, vol.81, pp.633-648, 1994. ,

Parameter expansion to accelerate em: The px-em algorithm, Biometrika, vol.85, pp.755-770, 1998. ,

Expectation-Conjugate Gradient: An Alternative to EM ,

A forwardonly recursion based hmm for modeling burst errors in digital channels, Global Telecommunications Conference, 1995. GLOBECOM '95, vol.2, pp.1054-1058, 1995. ,

The calculation of posterior distributions by data augmentation, Journal of the American Statistical Association, vol.82, pp.528-540, 1987. ,

Direct maximization of the likelihood of a hidden markov model, Computational Statistics & Data Analysis, vol.52, pp.4147-4160, 2008. ,

Maximum likelihood estimation via the ecm algorithm: computing the asymptotic variance, Statistica Sinica, pp.55-75, 1995. ,

A monte carlo implementation of the em algorithm and the poor man's data augmentation algorithms, Journal of the American Statistical Association, vol.85, pp.699-704, 1990. ,

, Hidden Markov Models for Time Series: An Introduction Using R, Chapman & Hall/CRC Monographs on Statistics & Applied Probability, 2009.