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ICPR
2008
IEEE
16 years 6 months ago
Exploiting qualitative domain knowledge for learning Bayesian network parameters with incomplete data
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
Qiang Ji, Wenhui Liao
ICIA
2007
15 years 7 months ago
Integrating Multiple Representations of Spatial Knowledge for Mapping, Navigation, and Communication
A robotic chauffeur should reason about spatial information with a variety of scales, dimensions, and ontologies. Rich representations of both the quantitative and qualitative cha...
Patrick Beeson, Matt MacMahon, Joseph Modayil, Ani...
ASUNAM
2009
IEEE
15 years 2 months ago
Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography
Abstract--Today Digital Bibliographies are a powerful instrument that collects a great amount of data about scientific publications. Digital Bibliographies have been used as basis ...
Michele Coscia, Fosca Giannotti, Ruggero G. Pensa
SIGIR
2003
ACM
15 years 10 months ago
Towards Virtual Knowledge Communities in Peer-to-Peer Networks
As a result of the anonymity in todays Web search, it is not possible to receive a personalized search result. Neither prior search results nor search results from other users are ...
Melanie Gnasa, Sascha Alda, Jasmin Grigull, Armin ...
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AP2PC
2003
Springer
15 years 10 months ago
K-Trek: A Peer-to-Peer Approach to Distribute Knowledge in Large Environments
In this paper, we explore an architecture, called K-Trek, that enables mobile users to travel across knowledge distributed over large geographical areas (ranging from large public ...
Paolo Busetta, Paolo Bouquet, Giordano Adami, Matt...