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» A Graph Based Process Representation for Process Modeling
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AAAI
2006
13 years 9 months ago
Learning Representation and Control in Continuous Markov Decision Processes
This paper presents a novel framework for simultaneously learning representation and control in continuous Markov decision processes. Our approach builds on the framework of proto...
Sridhar Mahadevan, Mauro Maggioni, Kimberly Fergus...
DEXA
2006
Springer
138views Database» more  DEXA 2006»
13 years 11 months ago
A Vector Space Model for Semantic Similarity Calculation and OWL Ontology Alignment
Ontology alignment (or matching) is the operation that takes two ontologies and produces a set of semantic correspondences (usually semantic similarities) between some elements of ...
Rubén Tous, Jaime Delgado
MLMI
2007
Springer
14 years 1 months ago
Gaussian Process Latent Variable Models for Human Pose Estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...
ER
2005
Springer
91views Database» more  ER 2005»
14 years 1 months ago
A Fundamental View on the Process of Conceptual Modeling
Abstract. In an ongoing effort to better understand the process of creating conceptual models (in particular formal ones), we present a fundamental view of the process of modeling...
Stijn Hoppenbrouwers, Henderik Alex Proper, Theo P...
CIKM
2011
Springer
12 years 7 months ago
Keyword search over RDF graphs
Large knowledge bases consisting of entities and relationships between them have become vital sources of information for many applications. Most of these knowledge bases adopt the...
Shady Elbassuoni, Roi Blanco