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» Reformulating Constraint Models Using Input Data
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ACL
2000
14 years 11 months ago
Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training
We present a new approach to stochastic modeling of constraintbased grammars that is based on loglinear models and uses EM for estimation from unannotated data. The techniques are...
Stefan Riezler, Detlef Prescher, Jonas Kuhn, Mark ...
ICMLA
2008
14 years 11 months ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa
75
Voted
ISBI
2002
IEEE
15 years 10 months ago
Fast model based segmentation of ultrasound data using an active image
In the present paper we propose a method for fast segmentation of ultrasound data. It is based on setting up a model depending on user input. We apply a matching scheme in order t...
Dieter Hönigmann, Helmut Pottmann, Johannes R...
BPSC
2009
240views Business» more  BPSC 2009»
14 years 10 months ago
Modelling and Solving Configuration Problems on Business Processes Using a Multi-Level Constraint Satisfaction Approach
Abstract: In this paper we present our ideas to apply constraint satisfaction on business processes. We propose a multi-level constraint satisfaction approach to handle t levels of...
Wolfgang Runte
CDC
2010
IEEE
14 years 4 months ago
Pressure- and work-limited neuroadaptive control for mechanical ventilation of critical care patients
In this paper, we develop a neuroadaptive control architecture to control lung volume and minute ventilation with input pressure constraints that also accounts for spontaneous brea...
Konstantin Y. Volyanskyy, Wassim M. Haddad, James ...