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» Learning Probabilistic Models of Relational Structure
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AMAI
2002
Springer
15 years 11 days ago
Probabilistic Argumentation Systems and Abduction
Probabilistic argumentation systems are based on assumption-based reasoning for obtaining arguments supporting hypotheses and on probability theory to compute probabilities of sup...
Jürg Kohlas, Dritan Berzati, Rolf Haenni
172
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AIM
2011
14 years 4 months ago
Transfer Learning by Reusing Structured Knowledge
Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...
Qiang Yang, Vincent Wenchen Zheng, Bin Li, Hankz H...
SDM
2009
SIAM
235views Data Mining» more  SDM 2009»
15 years 9 months ago
Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data records and unstruc...
ChengXiang Zhai, Duo Zhang, Jiawei Han
136
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PKDD
2004
Springer
205views Data Mining» more  PKDD 2004»
15 years 5 months ago
Breaking Through the Syntax Barrier: Searching with Entities and Relations
The next wave in search technology will be driven by the identification, extraction, and exploitation of real-world entities represented in unstructured textual sources. Search sy...
Soumen Chakrabarti
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 27 days ago
Relational data pre-processing techniques for improved securities fraud detection
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...