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» Learning Rules from Distributed Data
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116
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SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 4 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
140
Voted
INTERNET
2007
113views more  INTERNET 2007»
15 years 2 months ago
REST Eye for the SOA Guy
it’s hardly Earth-shattering: abstracting your business services and separating them from your applications can yield an overall system that’s easier to build, maintain, and ex...
Steve Vinoski
EC
2006
195views ECommerce» more  EC 2006»
15 years 2 months ago
Automated Global Structure Extraction for Effective Local Building Block Processing in XCS
Learning Classifier Systems (LCSs), such as the accuracy-based XCS, evolve distributed problem solutions represented by a population of rules. During evolution, features are speci...
Martin V. Butz, Martin Pelikan, Xavier Llorà...
120
Voted
KDD
2004
ACM
162views Data Mining» more  KDD 2004»
16 years 2 months ago
Discovering Links Between Lexical and Surface Features in Questions and Answers
Information retrieval systems, based on keyword match, are evolving to question answering systems that return short passages or direct answers to questions, rather than URLs point...
Soumen Chakrabarti
SEMWEB
2005
Springer
15 years 8 months ago
The Personal Publication Reader
This application demonstrates how to provide personalized, syndicated views on distributed web data using Semantic Web technologies. The application comprises four steps: The infor...
Fabian Abel, Robert Baumgartner, Adrian Brooks, Ch...