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» Hidden semi-Markov models
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IDA
2009
Springer
15 years 4 months ago
Estimating Hidden Influences in Metabolic and Gene Regulatory Networks
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
Florian Blöchl, Fabian J. Theis
DMSN
2008
ACM
15 years 8 months ago
Probabilistic processing of interval-valued sensor data
When dealing with sensors with different time resolutions, it is desirable to model a sensor reading as pertaining to a time interval rather than a unit of time. We introduce two ...
Sander Evers, Maarten M. Fokkinga, Peter M. G. Ape...
IJCAI
2003
15 years 7 months ago
A Statistical Model for Flexible String Similarity
This paper proposes a statistical model for defining string similarity. The proposed model is based on hidden Markov model and defines string similarity as the combination of simi...
Atsuhiro Takasu
PLILP
1998
Springer
15 years 10 months ago
A Hidden Herbrand Theorem
: The bene ts of the object, logic or relational, functional, and constraint paradigms can be obtained from our previous combination of the object and functional paradigms in hidde...
Joseph A. Goguen, Grant Malcolm, Tom Kemp
CSL
1999
Springer
15 years 6 months ago
A hidden Markov-model-based trainable speech synthesizer
This paper presents a new approach to speech synthesis in which a set of cross-word decision-tree state-clustered context-dependent hidden Markov models are used to define a set o...
R. E. Donovan, Philip C. Woodland