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» Learning the Common Structure of Data
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EMNLP
2008
15 years 5 months ago
Sampling Alignment Structure under a Bayesian Translation Model
We describe the first tractable Gibbs sampling procedure for estimating phrase pair frequencies under a probabilistic model of phrase alignment. We propose and evaluate two nonpar...
John DeNero, Alexandre Bouchard-Côté,...
139
Voted
ANNPR
2008
Springer
15 years 5 months ago
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Jean-François Connolly, Eric Granger, Rober...
118
Voted
DASFAA
2007
IEEE
138views Database» more  DASFAA 2007»
15 years 10 months ago
An Original Semantics to Keyword Queries for XML Using Structural Patterns
XML is by now the de facto standard for exporting and exchanging data on the web. The need for querying XML data sources whose structure is not fully known to the user and the need...
Dimitri Theodoratos, Xiaoying Wu
114
Voted
CIDM
2007
IEEE
15 years 10 months ago
Structure Prediction in Temporal Networks using Frequent Subgraphs
— There are several types of processes which can be modeled explicitly by recording the interactions between a set of actors over time. In such applications, a common objective i...
Mayank Lahiri, Tanya Y. Berger-Wolf
75
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ITC
2003
IEEE
115views Hardware» more  ITC 2003»
15 years 9 months ago
Towards Structural Testing of Superconductor Electronics
Many of the semiconductor technologies are already facing limitations while new-generation data and telecommunication systems are implemented. Although in its infancy, superconduc...
Arun A. Joseph, Hans G. Kerkhoff