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» Inferring Personal Information from Demand-Response Systems
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HRI
2006
ACM
14 years 2 months ago
Using context and sensory data to learn first and second person pronouns
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
Kevin Gold, Brian Scassellati
WWW
2005
ACM
14 years 9 months ago
A personalized search engine based on web-snippet hierarchical clustering
In this paper we propose a hierarchical clustering engine, called SnakeT, that is able to organize on-the-fly the search results drawn from 16 commodity search engines into a hier...
Paolo Ferragina, Antonio Gulli
ICDE
2003
IEEE
116views Database» more  ICDE 2003»
14 years 9 months ago
Personalized Services for Mobile Route Planning
Enabling mobility in urban and populous areas needs innovative tools and novel techniques for individual traffic planning. We present a prototype of a traffic information system e...
Wolf-Tilo Balke, Werner Kießling, Christoph ...
INFFUS
2010
143views more  INFFUS 2010»
13 years 6 months ago
A multi-agent systems approach to distributed bayesian information fusion
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
CSCW
2002
ACM
13 years 8 months ago
Who can claim complete abstinence from peeking at print jobs?
While systems supporting communities of practice in work organizations have been shown to be desirable many, if not all, are decoupled from daily work practices and tools. This hi...
Antonietta Grasso, Jean-Luc Meunier