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» How Local Should a Learning Method Be
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109
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PERCOM
2010
ACM
15 years 6 months ago
Indoor localization in multi-floor environments with reduced effort
Abstract—In pervasive computing, localizing a user in wireless indoor environments is an important yet challenging task. Among the state-of-art localization methods, fingerprint...
Hua-Yan Wang, Vincent Wenchen Zheng, Junhui Zhao, ...
NIPS
2003
15 years 3 months ago
Training a Quantum Neural Network
Most proposals for quantum neural networks have skipped over the problem of how to train the networks. The mechanics of quantum computing are different enough from classical compu...
Bob Ricks, Dan Ventura
130
Voted
IJCAI
2003
15 years 3 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
111
Voted
NAACL
2010
15 years 8 days ago
Painless Unsupervised Learning with Features
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
Taylor Berg-Kirkpatrick, Alexandre Bouchard-C&ocir...
LREC
2010
120views Education» more  LREC 2010»
15 years 3 months ago
Influence of Module Order on Rule-Based De-identification of Personal Names in Electronic Patient Records Written in Swedish
Electronic patient records (EPRs) are a valuable resource for research but for confidentiality reasons they cannot be used freely. In order to make EPRs available to a wider group...
Elin Carlsson, Hercules Dalianis