824 search results - page 17 / 165 » Learning probabilistic logic models from probabilistic examp... |
81
Voted
FOSSACS
2008
Springer
14 years 11 months ago
2008
Springer
Coalgebras provide a uniform framework for the semantics of a large class of (mostly non-normal) modal logics, including e.g. monotone modal logic, probabilistic and graded modal l...
104
click to vote
TARK
2007
Springer
15 years 3 months ago
2007
Springer
We investigate the discrete (finite) case of the Popper-Renyi theory of conditional probability, introducing discrete conditional probabilistic models for (multi-agent) knowledge...
102
click to vote
HIS
2003
14 years 11 months ago
2003
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
AAAI
2010
14 years 11 months ago
2010
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...