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» Machine Learning of Temporal Relations
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ICALT
2007
IEEE
14 years 11 months ago
Semantic Relation Analysis and Its Application in Cognitive Profiling
Semantic web is an emerging paradigm that has great potential for the management of web content in a meaningful manner. With more and more semantic information appended to web, th...
Taiyu Lin, Kinshuk, Sabine Graf
KI
2009
Springer
15 years 4 months ago
Comparing Two Approaches for the Recognition of Temporal Expressions
Temporal expressions are important structures in natural language. In order to understand text, temporal expressions have to be extracted and normalized. In this paper we present a...
Oleksandr Kolomiyets, Marie-Francine Moens
ICML
2001
IEEE
15 years 10 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
84
Voted
ICML
2009
IEEE
15 years 10 months ago
Block-wise construction of acyclic relational features with monotone irreducibility and relevancy properties
We describe an algorithm for constructing a set of acyclic conjunctive relational features by combining smaller conjunctive blocks. Unlike traditional level-wise approaches which ...
Filip Zelezný, Ondrej Kuzelka
76
Voted
ICML
2008
IEEE
15 years 10 months ago
Non-parametric policy gradients: a unified treatment of propositional and relational domains
Policy gradient approaches are a powerful instrument for learning how to interact with the environment. Existing approaches have focused on propositional and continuous domains on...
Kristian Kersting, Kurt Driessens