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ML
2012
ACM
413views Machine Learning» more  ML 2012»
12 years 4 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
EACL
2009
ACL Anthology
14 years 9 months ago
Using Lexical and Relational Similarity to Classify Semantic Relations
Many methods are available for computing semantic similarity between individual words, but certain NLP tasks require the comparison of word pairs. This paper presents a kernel-bas...
Ann A. Copestake, Diarmuid Ó Séaghdh...
PSYCHNOLOGY
2007
75views more  PSYCHNOLOGY 2007»
13 years 8 months ago
Market Relations, Non-Market Relations and Free Software
Free Software is sometimes considered solely a technical option, but that is a quite limited point of view: we suggest, indeed, that Free Software is not merely a technical option...
Andres Baravalle, Sarah Chambers
EUSFLAT
2003
13 years 10 months ago
Relational Takagi-Sugeno models for rainfall-discharge modeling
In this paper, the use of fuzzy models relating rainfall to catchment discharge is investigated for the Zwalm catchment in Belgium. The models are built along the lines of Gawedaâ...
Hilde Vernieuwe, Bernard De Baets
FLAIRS
2006
13 years 10 months ago
Model Construction Algorithms for Object-Oriented Probabilistic Relational Models
This paper presents three new algorithms for the automatic construction of models from Object Oriented Probabilistic RelationalModels. The first two algorithms are based on the kn...
Catherine Howard, Markus Stumptner