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ICPR
2008
IEEE
16 years 1 months ago
Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
ECML
2005
Springer
16 years 3 days ago
Learning to Complete Sentences
Abstract. We consider the problem of predicting how a user will continue a given initial text fragment. Intuitively, our goal is to develop a “tab-complete” function for natura...
Steffen Bickel, Peter Haider, Tobias Scheffer
PATAT
2004
Springer
130views Education» more  PATAT 2004»
15 years 12 months ago
Learning User Preferences in Distributed Calendar Scheduling
Abstract. Within the field of software agents, there has been increasing interest in automating the process of calendar scheduling in recent years. Calendar (or meeting) schedulin...
Jean Oh, Stephen F. Smith
DAGM
2004
Springer
15 years 12 months ago
Predictive Discretization During Model Selection
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
Harald Steck, Tommi Jaakkola
CSFW
2008
IEEE
16 years 1 months ago
Security Decision-Making among Interdependent Organizations
In various settings, such as when customers use the same passwords at several independent web sites, security decisions by one organization may have a significant impact on the s...
Reiko Ann Miura-Ko, Benjamin Yolken, John Mitchell...