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» Learning from Multiple Sources of Inaccurate Data
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111
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JDM
2007
99views more  JDM 2007»
15 years 2 months ago
Semantic Integration and Knowledge Discovery for Environmental Research
Environmental research and knowledge discovery both require extensive use of data stored in various sources and created in different ways for diverse purposes. We describe a new m...
Zhiyuan Chen, Aryya Gangopadhyay, George Karabatis...
146
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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 5 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
111
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IDEAL
2009
Springer
15 years 9 months ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin
123
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IPSJ
1994
138views more  IPSJ 1994»
15 years 3 months ago
The TSIMMIS Project: Integration of Heterogeneous Information Sources
The goal of the Tsimmis Project is to develop tools that facilitate the rapid integration of heterogeneous information sources that may include both structured and unstructured da...
Sudarshan S. Chawathe, Hector Garcia-Molina, Joach...
108
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BIOCOMP
2006
15 years 4 months ago
Polyome: A Learning System for Extracting Bioinformatic Data
: The exponential growth in the quantity of publicly available genetic data and the proliferation of bioinformatic databases mean that scientists need computerized tools more than ...
Bob Myers, Trevor I. Dix, Ross L. Coppel, David G....