45 search results - page 5 / 9 » A Latent Dirichlet Framework for Relevance Modeling |
ECIR
2009
Springer
14 years 4 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...
WWW
2008
ACM
14 years 8 months ago
2008
ACM
We present a computational framework to automatically discover high-order temporal social patterns from very noisy and sparse location data. We introduce the concept of social foo...
NIPS
2008
13 years 9 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
NIPS
2008
13 years 9 months ago
2008
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...