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DAGSTUHL
2009
15 years 8 months ago
Modeling Dimensions of Self-Adaptive Software Systems
It is commonly agreed that a self-adaptive software system is one that can modify itself at run-time due to changes in the system, its requirements, or the environment in which it ...
Jesper Andersson, Rogério de Lemos, Sam Mal...
ICML
2009
IEEE
16 years 7 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
ICML
2005
IEEE
16 years 7 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos
ICDAR
2009
IEEE
16 years 1 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
UML
2005
Springer
16 years 9 days ago
Tool Support for Model-Based Generation of Advanced User Interfaces
A lot of research and work has been done in the past, to develop XML based user-interface definition languages. Also languages to describe graphics and animations were created. In...
Andreas Wolff, Peter Forbrig, Daniel Reichart