471 search results - page 2 / 95 » An Introduction to Probabilistic Graphical Models for Relati... |
VLDB
2008
ACM
14 years 6 months ago
2008
ACM
This paper presents a probabilistic relational modelling (implementation) of the major probabilistic retrieval models. Such a high-level implementation is useful since it supports ...
DCC
2011
IEEE
13 years 22 days ago
2011
IEEE
We present a general-purpose, lossless compressor for streaming data. This compressor is based on the deplump probabilistic compressor for batch data. Approximations to the infere...
ECML
2007
Springer
13 years 12 months ago
2007
Springer
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
KDD
2009
ACM
13 years 10 months ago
2009
ACM
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We study the challenging problem of maneuvering object tracking with unknown dynamics, i.e., forces or torque. We investigate the underlying causes of object kinematics, and propo...