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ECAI
2010
Springer
14 years 7 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
EMNLP
2008
14 years 11 months ago
Relative Rank Statistics for Dialog Analysis
We introduce the relative rank differential statistic which is a non-parametric approach to document and dialog analysis based on word frequency rank-statistics. We also present a...
Juan Huerta
88
Voted
ATAL
2008
Springer
15 years 5 days ago
A statistical relational model for trust learning
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
Achim Rettinger, Matthias Nickles, Volker Tresp
ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
14 years 8 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
78
Voted
ICPPW
2002
IEEE
15 years 3 months ago
A Statistical Approach for the Analysis of the Relation Between Low-Level Performance Information, the Code, and the Environment
This paper presents a methodology for aiding a scientific programmer to evaluate the performance of parallel programs on advanced architectures. It applies well-defined design o...
Nayda G. Santiago, Diane T. Rover, Domingo Rodr&ia...