104 search results - page 4 / 21 » Using Dirichlet priors to improve model parameter plausibili... |
SIGIR
2009
ACM
15 years 4 months ago
2009
ACM
The inclusion of document length factors has been a major topic in the development of retrieval models. We believe that current models can be further improved by more refined est...
JCST
2010
14 years 8 months ago
2010
In the Bayesian mixture modeling framework it is possible to infer the necessary number of components to model the data and therefore it is unnecessary to explicitly restrict the n...
EMNLP
2010
2010
Crouching Dirichlet, Hidden Markov Model: Unsupervised POS Tagging with Context Local Tag Generation
14 years 7 months ago
We define the crouching Dirichlet, hidden Markov model (CDHMM), an HMM for partof-speech tagging which draws state prior distributions for each local document context. This simple...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We apply nonparametric hierarchical Bayesian modelling to relational learning. In a hierarchical Bayesian approach, model parameters can be "personalized", i.e., owned b...
IJCAI
2007
14 years 11 months ago
2007
Nonparametric Bayesian mixture models, in particular Dirichlet process (DP) mixture models, have shown great promise for density estimation and data clustering. Given the size of ...