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» Relational Learning via Propositional Algorithms: An Informa...
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JMLR
2010
95views more  JMLR 2010»
13 years 1 days ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
COLING
2010
13 years 8 days ago
Enhancing Multi-lingual Information Extraction via Cross-Media Inference and Fusion
We describe a new information fusion approach to integrate facts extracted from cross-media objects (videos and texts) into a coherent common representation including multi-level ...
Adam Lee, Marissa Passantino, Heng Ji, Guojun Qi, ...
KAIS
2008
165views more  KAIS 2008»
13 years 5 months ago
Multirelational classification: a multiple view approach
Multirelational classification aims at discovering useful patterns across multiple inter-connected tables (relations) in a relational database. Many traditional learning techniques...
Hongyu Guo, Herna L. Viktor
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
14 years 5 months ago
Relational learning via latent social dimensions
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
Lei Tang, Huan Liu
ACL
2010
13 years 3 months ago
On Learning Subtypes of the Part-Whole Relation: Do Not Mix Your Seeds
An important relation in information extraction is the part-whole relation. Ontological studies mention several types of this relation. In this paper, we show that the traditional...
Ashwin Ittoo, Gosse Bouma