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FTML
2008
185views more  FTML 2008»
13 years 7 months ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan
KDD
2010
ACM
188views Data Mining» more  KDD 2010»
13 years 5 months ago
Trust network inference for online rating data using generative models
In an online rating system, raters assign ratings to objects contributed by other users. In addition, raters can develop trust and distrust on object contributors depending on a f...
Freddy Chong Tat Chua, Ee-Peng Lim
ACL
2011
12 years 11 months ago
A Bayesian Model for Unsupervised Semantic Parsing
We propose a non-parametric Bayesian model for unsupervised semantic parsing. Following Poon and Domingos (2009), we consider a semantic parsing setting where the goal is to (1) d...
Ivan Titov, Alexandre Klementiev
VLDB
2007
ACM
104views Database» more  VLDB 2007»
14 years 7 months ago
Extending Dependencies with Conditions
This paper introduces a class of conditional inclusion dependencies (CINDs), which extends traditional inclusion dependencies (INDs) by enforcing bindings of semantically related ...
Loreto Bravo, Wenfei Fan, Shuai Ma
SBBD
2004
119views Database» more  SBBD 2004»
13 years 9 months ago
Computing the Dependency Basis for Nested List Attributes
Multi-valued dependencies (MVDs) are an important class of constraints that is fundamental for relational database design. Although modern applications increasingly require the su...
Sven Hartmann, Sebastian Link