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» Inferring Knowledge from a Large Semantic Network
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ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
15 years 3 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet
WWW
2008
ACM
15 years 10 months ago
Networked graphs: a declarative mechanism for SPARQL rules, SPARQL views and RDF data integration on the web
Easy reuse and integration of declaratively described information in a distributed setting is one of the main motivations for building the Semantic Web. Despite of this claim, reu...
Simon Schenk, Steffen Staab
ICIC
2005
Springer
15 years 3 months ago
Automatic Construction of Bayesian Networks for Conversational Agent
Abstract. As the information in the internet proliferates, the methods for effectively providing the information have been exploited, especially in conversational agents. Bayesian ...
Sungsoo Lim, Sung-Bae Cho
NIPS
2003
14 years 11 months ago
Unsupervised Context Sensitive Language Acquisition from a Large Corpus
We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. Th...
Zach Solan, David Horn, Eytan Ruppin, Shimon Edelm...
SOSP
2007
ACM
15 years 6 months ago
MUVI: automatically inferring multi-variable access correlations and detecting related semantic and concurrency bugs
Software defects significantly reduce system dependability. Among various types of software bugs, semantic and concurrency bugs are two of the most difficult to detect. This pape...
Shan Lu, Soyeon Park, Chongfeng Hu, Xiao Ma, Weiha...