1349 search results - page 16 / 270 » Models for Incomplete and Probabilistic Information |
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
NLDB
2007
Springer
14 years 1 months ago
2007
Springer
Most of Information Retrieval (IR) systems are still based on bag of word paradigm. This is a strong limitation if one needs high precision answers. For example, in restricted doma...
IEEEARES
2006
IEEE
14 years 1 months ago
2006
IEEE
In many reliability studies based on data, reliability engineers face incompleteness and incoherency problems in the data. Probabilistic tools badly handle these kinds of problems...
KDD
1998
ACM
13 years 11 months ago
1998
ACM
We apply a well-known Bayesian probabilistic model to textual information retrieval: the classification of documents based on their relevance to a query. This model was previously...
PRICAI
2004
Springer
14 years 23 days ago
2004
Springer
Currently, most human action recognition systems are trained with feature sets that have no missing data. Unfortunately, the use of human pose estimation models to provide more des...