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» Learning and using relational theories
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ACL
2006
13 years 11 months ago
URES : an Unsupervised Web Relation Extraction System
Most information extraction systems either use hand written extraction patterns or use a machine learning algorithm that is trained on a manually annotated corpus. Both of these a...
Binyamin Rosenfeld, Ronen Feldman
ENTCS
2002
97views more  ENTCS 2002»
13 years 9 months ago
Sketch Data Models, Relational Schema and Data Specifications
When different mathematical models are used for software analysis and development it is important to understand their relationships. When the models are truly mathematical, and wh...
Michael Johnson, Robert D. Rosebrugh
MLDM
2009
Springer
14 years 4 months ago
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
ARTMED
2006
80views more  ARTMED 2006»
13 years 10 months ago
A formal theory for spatial representation and reasoning in biomedical ontologies
Objective: The objective of this paper is to demonstrate how a formal spatial theory can be used as an important tool for disambiguating the spatial information embodied in biomed...
Maureen Donnelly, Thomas Bittner, Cornelius Rosse
IJON
2007
99views more  IJON 2007»
13 years 10 months ago
A relative trust-region algorithm for independent component analysis
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
Heeyoul Choi, Seungjin Choi