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KI
2007
Springer
15 years 6 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
91
Voted
DEXA
2005
Springer
123views Database» more  DEXA 2005»
15 years 6 months ago
Detecting Changes to Hybrid XML Documents Using Relational Databases
Abstract. Recent works in XML change detection have focused on detecting changes to ordered or unordered XML documents. However, in real life XML documents may not always be purely...
Erwin Leonardi, Sri L. Budiman, Sourav S. Bhowmick
DEXA
2008
Springer
123views Database» more  DEXA 2008»
15 years 2 months ago
Emerging Pattern Based Classification in Relational Data Mining
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...
Michelangelo Ceci, Annalisa Appice, Donato Malerba
78
Voted
LREC
2010
131views Education» more  LREC 2010»
15 years 2 months ago
A Semi-supervised Type-based Classification of Adjectives: Distinguishing Properties and Relations
We present a semi-supervised machine-learning approach for the classification of adjectives into property- vs. relationdenoting adjectives, a distinction that is highly relevant f...
Matthias Hartung, Anette Frank
112
Voted
BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
15 years 7 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...