139 search results - page 4 / 28 » Recovering Data Models via Guarded Dependences |
SIGIR
2005
ACM
13 years 11 months ago
2005
ACM
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
NAACL
2010
13 years 3 months ago
2010
We present three approaches for unsupervised grammar induction that are sensitive to data complexity and apply them to Klein and Manning's Dependency Model with Valence. The ...
4OR
2005
13 years 5 months ago
2005
Many real problems can be modelled as robust shortest path problems on digraphs with interval costs, where intervals represent uncertainty about real costs and a robust path is not...
ICPR
2008
IEEE
14 years 12 days ago
2008
IEEE
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...