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ECML
2007
Springer
16 years 1 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
SSPR
2004
Springer
16 years 29 days ago
An Optimal Probabilistic Graphical Model for Point Set Matching
We present a probabilistic graphical model for point set matching. By using a result about the redundancy of the pairwise distances in a point set, we represent the binary relation...
Tibério S. Caetano, Terry Caelli, Dante Aug...
CAV
2007
Springer
114views Hardware» more  CAV 2007»
15 years 11 months ago
Configurable Software Verification: Concretizing the Convergence of Model Checking and Program Analysis
In automatic software verification, we have observed a theoretical convergence of model checking and program analysis. In practice, however, model checkers are still mostly concern...
Dirk Beyer, Thomas A. Henzinger, Grégory Th...
FSTTCS
2010
Springer
15 years 5 months ago
Average Analysis of Glushkov Automata under a BST-Like Model
We study the average number of transitions in Glushkov automata built from random regular expressions. This statistic highly depends on the probabilistic distribution set on the e...
Cyril Nicaud, Carine Pivoteau, Benoît Razet
DAGM
2010
Springer
15 years 8 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen