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EKAW
2004
Springer
15 years 10 months ago
Medical Ontology and Virtual Staff for a Health Network
In the context of a care network, we describe our method for reconstitution of a medical ontology via the translation of a medical database (DB) towards RDF(S) language. Then we sh...
Rose Dieng-Kuntz, David Minier, Frédé...
EACL
2003
ACL Anthology
15 years 8 months ago
Neural Network Probability Estimation for Broad Coverage Parsing
We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-...
James Henderson
203
Voted
ICA
2010
Springer
15 years 5 months ago
Time Series Causality Inference Using Echo State Networks
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
Norbert Michael Mayer, Oliver Obst, Chang Yu-Chen
ICIP
2007
IEEE
16 years 1 months ago
Using a Markov Network to Recognize People in Consumer Images
Markov networks are an effective tool for the difficult but important problem of recognizing people in consumer image collections. Given a small set of labeled faces, we seek to ...
Andrew C. Gallagher, Tsuhan Chen
ICASSP
2011
IEEE
14 years 10 months ago
Distributed routing in networks using affinity propagation
This paper applies affinity propagation (AP) to develop distributed solutions for routing over networks. AP is a message passing algorithm for unsupervised learning. This paper d...
Manohar Shamaiah, Sang Hyun Lee, Sriram Vishwanath...