2199 search results - page 8 / 440 » Information retrieval using hierarchical dirichlet processes |
ACL
2006
13 years 9 months ago
2006
We propose a new hierarchical Bayesian n-gram model of natural languages. Our model makes use of a generalization of the commonly used Dirichlet distributions called Pitman-Yor pr...
NIPS
2003
13 years 9 months ago
2003
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
ECIR
2009
Springer
14 years 5 months ago
2009
Springer
Probabilistic retrieval models usually rank documents based on a scalar quantity. However, such models lack any estimate for the uncertainty associated with a document’s rank. Fu...
ECIR
2009
Springer
14 years 5 months ago
2009
Springer
The aim of query-based sampling is to obtain a sufficient, representative sample of an underlying (text) collection. Current measures for assessing sample quality are too coarse gr...
SIGIR
2002
ACM
13 years 8 months ago
2002
ACM
The optimal settings of retrieval parameters often depend on both the document collection and the query, and are usually found through empirical tuning. In this paper, we propose ...