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ML
2012
ACM
413views Machine Learning» more  ML 2012»
12 years 4 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
ECAI
2010
Springer
13 years 10 months ago
Context-Specific Independence in Directed Relational Probabilistic Models and its Influence on the Efficiency of Gibbs Sampling
Abstract. There is currently a large interest in relational probabilistic models. While the concept of context-specific independence (CSI) has been well-studied for models such as ...
Daan Fierens
VLDB
1992
ACM
173views Database» more  VLDB 1992»
14 years 1 months ago
An Extended Relational Database Model for Uncertain and Imprecise Information
We propose an extended relational database model which can model both uncertainty and imprecision in data. This model is basedon Dempster-Shafertheory which has become popular in ...
Suk Kyoon Lee
ENC
2005
IEEE
14 years 2 months ago
A Probabilistic Relational Student Model for Virtual Laboratories
The main purpose of this work is to develop an intelligent tutor system coupled to a robotics virtual laboratory, in order to offer a tutored virtual learning environment. The stu...
Julieta Noguez, Luis Enrique Sucar
COLING
2010
13 years 4 months ago
Head-modifier Relation based Non-lexical Reordering Model for Phrase-Based Translation
Phrase-based statistical MT (SMT) is a milestone in MT. However, the translation model in the phrase based SMT is structure free which greatly limits its reordering capacity. To a...
Shui Liu, Sheng Li, Tiejun Zhao, Min Zhang, Pengyu...