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» Learning from Multiple Sources of Inaccurate Data
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IFIP
2004
Springer
14 years 26 days ago
The MOMIS methodology for integrating heterogeneous data sources
: The Mediator EnvirOnment for Multiple Information Sources (MOMIS) aims at constructing synthesized, integrated descriptions of the information coming from multiple heterogeneous ...
Domenico Beneventano, Sonia Bergamaschi
CORR
2006
Springer
137views Education» more  CORR 2006»
13 years 7 months ago
Achievable Rates for the Multiple Access Channel with Feedback and Correlated Sources
In this paper, we investigate achievable rates on the multiple access channel with feedback and correlated sources (MACFCS). The motivation for studying the MACFCS stems from the ...
Lawrence Ong, Mehul Motani
ICML
2004
IEEE
14 years 8 months ago
Improving SVM accuracy by training on auxiliary data sources
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Pengcheng Wu, Thomas G. Dietterich
VLDB
2002
ACM
126views Database» more  VLDB 2002»
13 years 7 months ago
ALIAS: An Active Learning led Interactive Deduplication System
Deduplication, a key operation in integrating data from multiple sources, is a time-consuming, labor-intensive and domainspecific operation. We present our design of alias that us...
Sunita Sarawagi, Anuradha Bhamidipaty, Alok Kirpal...
ICDM
2006
IEEE
108views Data Mining» more  ICDM 2006»
14 years 1 months ago
Integrating Features from Different Sources for Music Information Retrieval
Efficient and intelligent music information retrieval is a very important topic of the 21st century. With the ultimate goal of building personal music information retrieval syste...
Tao Li, Mitsunori Ogihara, Shenghuo Zhu