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ICML
2009
IEEE
16 years 2 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
CAISE
2005
Springer
15 years 7 months ago
A General Approach to the Generation of Conceptual Model Transformations
In data integration, a Merge operator takes as input a pair of schemas in some conceptual modelling language, together with a set of correspondences between their constructs, and p...
Nikolaos Rizopoulos, Peter McBrien
ER
2004
Springer
93views Database» more  ER 2004»
15 years 7 months ago
A Pattern and Dependency Based Approach to the Design of Process Models
Abstract. In this paper an approach for building process models for ecommerce is proposed. It is based on the assumption that the process modeling task can be methodologically supp...
Maria Bergholtz, Prasad Jayaweera, Paul Johannesso...
WLP
2004
Springer
15 years 7 months ago
Effective Modeling with Constraints
Constraint programming provides a declarative approach to solving combinatorial (optimization) problems. The user just states the problem as a constraint satisfaction problem (CSP)...
Roman Barták
DISCEX
2003
IEEE
15 years 7 months ago
Modeling Multistep Cyber Attacks for Scenario Recognition
Efforts toward automated detection and identification of multistep cyber attack scenarios would benefit significantly from a methodology and language for modeling such scenario...
Steven Cheung, Ulf Lindqvist, Martin W. Fong