42 search results - page 6 / 9 » Performing Incremental Bayesian Inference by Dynamic Model C... |
CJ
2010
14 years 7 months ago
2010
an be used to abstract away from the physical reality by describing it as components that exist in discrete states with probabilistically invoked actions that change the state. The...
DCC
2010
IEEE
15 years 4 months ago
2010
IEEE
In this work we describe a sequence compression method based on combining a Bayesian nonparametric sequence model with entropy encoding. The model, a hierarchy of Pitman-Yor proce...
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RECOMB
2010
Springer
15 years 4 months ago
2010
Springer
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
BMCBI
2010
14 years 9 months ago
2010
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, models and algorithms are presented for transcription of pitch and timings in polyphonic music extracts, focusing on the algorithm details of the sequential Markov ...