190 search results - page 4 / 38 » Markov constraints: steerable generation of Markov sequences |
127
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ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
124
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ICC
2009
IEEE
14 years 10 months ago
2009
IEEE
Abstract--Generative models are created to be used in the design and performance assessment of high layer wireless communication protocols and some error control strategies. Genera...
96
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CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
103
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BMCBI
2005
15 years 7 days ago
2005
Background: The currently used kth order Markov models estimate the probability of generating a single nucleotide conditional upon the immediately preceding (gap = 0) k units. How...
CORR
2008
Springer
15 years 13 days ago
2008
Springer
Using the concept of discrete noiseless channels, it was shown by Shannon in A Mathematical Theory of Communication that the ultimate performance of an encoder for a constrained sy...