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» Learning from Multiple Sources of Inaccurate Data
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151
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NIPS
2008
15 years 4 months ago
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
Yi Zhang 0010, Jeff Schneider, Artur Dubrawski
135
Voted
AAAI
1998
15 years 4 months ago
Learning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...
116
Voted
PPL
2008
75views more  PPL 2008»
15 years 3 months ago
Modeling the Performance of Communication Schemes on Network Topologies
This paper investigates the influence of the interconnection network topology of a parallel system on the delivery time of an ensemble of messages, called the communication scheme...
Jan Lemeire, Erik F. Dirkx, Walter Colitti
156
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KDD
2007
ACM
154views Data Mining» more  KDD 2007»
16 years 3 months ago
Canonicalization of database records using adaptive similarity measures
It is becoming increasingly common to construct databases from information automatically culled from many heterogeneous sources. For example, a research publication database can b...
Aron Culotta, Michael L. Wick, Robert Hall, Matthe...
141
Voted
VLDB
2004
ACM
103views Database» more  VLDB 2004»
15 years 8 months ago
WIC: A General-Purpose Algorithm for Monitoring Web Information Sources
The Web is becoming a universal information dissemination medium, due to a number of factors including its support for content dynamicity. A growing number of Web information prov...
Sandeep Pandey, Kedar Dhamdhere, Christopher Olsto...