186 search results - page 11 / 38 » Learning directed probabilistic logical models from relation... |
SIGIR
2008
ACM
14 years 11 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
ICML
2003
IEEE
16 years 12 days ago
2003
IEEE
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
120
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PKDD
2010
Springer
14 years 10 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...
103
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PERCOM
2007
ACM
15 years 11 months ago
2007
ACM
This paper investigates the role of existing "probabilistic" schemes to reason about various everyday situations on the basis of data from multiple heterogeneous physical...
DAGSTUHL
2007
15 years 1 months ago
2007
arrhythmias (extended abstract) Elisa Fromont, Ren´e Quiniou, Marie-Odile Cordier We are interested in using parallel universes to learn interpretable models that can be subseque...