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NIPS
2000
13 years 9 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
GSN
2009
Springer
140views Sensor Networks» more  GSN 2009»
14 years 1 months ago
Estimation of Pollutant-Emitting Point-Sources Using Resource-Constrained Sensor Networks
We present an algorithm that makes an appropriate use of a Kalman filter combined with a geometric computation with respect to the localisation of a pollutant-emitting point sourc...
Michael Zoumboulakis, George Roussos
EUROSSC
2007
Springer
14 years 2 months ago
Recognition of User Activity Sequences Using Distributed Event Detection
We describe and evaluate a distributed architecture for the online recognition of user activity sequences. In a lower layer, simple heterogeneous atomic activities were recognised ...
Oliver Amft, Clemens Lombriser, Thomas Stiefmeier,...
IJMMS
2000
85views more  IJMMS 2000»
13 years 8 months ago
Ontology-driven document enrichment: principles, tools and applications
In this paper we present an approach to document enrichment, which consists of developing and integrating formal knowledge models with archives of documents, to provide intelligent...
Enrico Motta, Simon Buckingham Shum, John Domingue
CIKM
2009
Springer
14 years 3 months ago
The impact of document structure on keyphrase extraction
Keyphrases are short phrases that reflect the main topic of a document. Because manually annotating documents with keyphrases is a time-consuming process, several automatic appro...
Katja Hofmann, Manos Tsagkias, Edgar Meij, Maarten...