28 search results - page 2 / 6 » A new probabilistic retrieval model based on the dirichlet c... |
AAAI
2010
13 years 2 months ago
2010
Different solvers for computationally difficult problems such as satisfiability (SAT) perform best on different instances. Algorithm portfolios exploit this phenomenon by predicti...
SIGIR
2010
ACM
13 years 8 months ago
2010
ACM
In this paper, we propose a new application of Bayesian language model based on Pitman-Yor process for information retrieval. This model is a generalization of the Dirichlet distr...
ECIR
2009
Springer
14 years 1 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...
ECIR
2009
Springer
14 years 1 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
2008
Springer
13 years 6 months ago
2008
Springer
This paper addresses the issue of devising a new document prior for the language modeling (LM) approach for Information Retrieval. The prior is based on term statistics, derived in...