3 search results - page 1 / 1 » A Neural Probabilistic Structured-Prediction Model for Trans... |
BMCBI
2008
13 years 4 months ago
2008
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
EMNLP
2007
13 years 6 months ago
2007
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
JMLR
2010
12 years 11 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...