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» Learning from Multiple Sources of Inaccurate Data
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120
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SEMWEB
2009
Springer
15 years 10 months ago
Learning to Map Ontologies with Neural Network
In this paper the authors applied the idea of training multiple tasks simultaneously on a partially shared feed forward network to domain of ontology mapping. A “cross trainingâ€...
Yefei Peng, Paul W. Munro, Ming Mao
126
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SIGIR
2000
ACM
15 years 8 months ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
130
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WSC
2004
15 years 5 months ago
A Real-Time Panoramic Vision System for Autonomous Navigation
The paper discusses a panoramic vision system for autonomous navigation purposes. It describes a method for integrating data in real-time from multiple camera sources. The views f...
Sumantra Dasgupta, Amarnath Banerjee
146
Voted
RECOMB
2006
Springer
16 years 4 months ago
Integrated Protein Interaction Networks for 11 Microbes
We have combined four different types of functional genomic data to create high coverage protein interaction networks for 11 microbes. Our integration algorithm naturally handles s...
Balaji S. Srinivasan, Antal F. Novak, Jason Flanni...
128
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CIKM
2005
Springer
15 years 9 months ago
Query expansion using random walk models
It has long been recognized that capturing term relationships is an important aspect of information retrieval. Even with large amounts of data, we usually only have significant ev...
Kevyn Collins-Thompson, Jamie Callan