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DAGM
2008
Springer
15 years 1 months ago
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Filip Korc, Wolfgang Förstner
UAI
2004
15 years 1 months ago
Sensitivity Analysis in Bayesian Networks: From Single to Multiple Parameters
Previous work on sensitivity analysis in Bayesian networks has focused on single parameters, where the goal is to understand the sensitivity of queries to single parameter changes...
Hei Chan, Adnan Darwiche
SMA
2005
ACM
151views Solid Modeling» more  SMA 2005»
15 years 5 months ago
A constructive approach to calculate parameter ranges for systems of geometric constraints
Geometric constraints are at the heart of parametric and feature-based CAD systems. Changing values of geometric constraint parameters is one of the most common operations in such...
Hilderick A. van der Meiden, Willem F. Bronsvoort
HYBRID
2009
Springer
15 years 6 months ago
Parameter Synthesis for Hybrid Systems with an Application to Simulink Models
Abstract. This paper addresses a parameter synthesis problem for nonlinear hybrid systems. Considering a set of uncertain parameters and a safety property, we give an algorithm tha...
Alexandre Donzé, Bruce H. Krogh, Akshay Raj...
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
15 years 6 months ago
Parameter Tuning for Differential Mining of String Patterns
Constraint-based mining has been proven to be extremely useful for supporting actionable pattern discovery. However, useful conjunctions of constraints that support domain driven ...
Jérémy Besson, Christophe Rigotti, I...