824 search results - page 134 / 165 » Learning probabilistic logic models from probabilistic examp... |
131
Voted
SIGIR
2004
ACM
15 years 9 months ago
2004
ACM
This paper presents a new dependence language modeling approach to information retrieval. The approach extends the basic language modeling approach based on unigram by relaxing th...
140
Voted
ISBI
2009
IEEE
15 years 10 months ago
2009
IEEE
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
154
Voted
NIPS
2004
15 years 5 months ago
2004
This paper presents an adaptive discriminative generative model that generalizes the conventional Fisher Linear Discriminant algorithm and renders a proper probabilistic interpret...
130
Voted
CIKM
2008
Springer
15 years 5 months ago
2008
Springer
Statistical topic models provide a general data-driven framework for automated discovery of high-level knowledge from large collections of text documents. While topic models can p...
160
Voted
PKDD
2010
Springer
15 years 2 months ago
2010
Springer
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...