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» Structured Relation Discovery using Generative Models
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AAAI
2007
15 years 2 months ago
Knowledge-Driven Learning and Discovery
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
Benjamin Lambert, Scott E. Fahlman
EMNLP
2008
15 years 1 months ago
Mining and Modeling Relations between Formal and Informal Chinese Phrases from Web Corpora
We present a novel method for discovering and modeling the relationship between informal Chinese expressions (including colloquialisms and instant-messaging slang) and their forma...
Zhifei Li, David Yarowsky
KDD
2005
ACM
73views Data Mining» more  KDD 2005»
16 years 2 days ago
Using relational knowledge discovery to prevent securities fraud
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
Özgür Simsek, David Jensen, Henry G. Gol...
IMC
2006
ACM
15 years 5 months ago
Semi-automated discovery of application session structure
While the problem of analyzing network traffic at the granularity of individual connections has seen considerable previous work and tool development, understanding traffic at a ...
Jayanthkumar Kannan, Jaeyeon Jung, Vern Paxson, Ca...
ECML
2007
Springer
15 years 5 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou