1014 search results - page 83 / 203 » A Spectral Algorithm for Learning Hidden Markov Models |
122
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NN
1997
Springer
15 years 6 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
126
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ALT
2010
Springer
14 years 11 months ago
2010
Springer
We focus on the estimation of a probability distribution over a set of trees. We consider here the class of distributions computed by weighted automata - a strict generalization of...
125
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JMLR
2010
14 years 9 months ago
2010
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
127
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BMCBI
2007
15 years 2 months ago
2007
Background: Yu et al. (BMC Bioinformatics 2007,8: 145+) have recently compared the performance of several methods for the detection of genomic amplification and deletion breakpoin...
152
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JPDC
2006
15 years 2 months ago
2006
This paper presents a new spectral template-matching approach to countering shrew distributed denial-of-service (DDoS) attacks. These attacks are stealthy, periodic, pulsing, and ...