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118
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ICML
2001
IEEE
16 years 4 months ago
Expectation Maximization for Weakly Labeled Data
We call data weakly labeled if it has no exact label but rather a numerical indication of correctness of the label "guessed" by the learning algorithm - a situation comm...
Yuri A. Ivanov, Bruce Blumberg, Alex Pentland
VLDB
1998
ACM
149views Database» more  VLDB 1998»
15 years 8 months ago
Incremental Maintenance for Materialized Views over Semistructured Data
Semistructured data is not strictly typed like relational or object-oriented data and may be irregular or incomplete. It often arises in practice, e.g., when heterogeneous data so...
Serge Abiteboul, Jason McHugh, Michael Rys, Vasili...
146
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DKE
1999
118views more  DKE 1999»
15 years 3 months ago
Designing Data Warehouses
A Data Warehouse DW is a database that collects and stores data from multiple remote and heterogeneous information sources. When a query is posed, it is evaluated locally, without...
Dimitri Theodoratos, Timos K. Sellis
JSAC
2010
107views more  JSAC 2010»
15 years 2 months ago
Online learning in autonomic multi-hop wireless networks for transmitting mission-critical applications
Abstract—In this paper, we study how to optimize the transmission decisions of nodes aimed at supporting mission-critical applications, such as surveillance, security monitoring,...
Hsien-Po Shiang, Mihaela van der Schaar
HAIS
2009
Springer
15 years 8 months ago
A Generic and Extendible Multi-Agent Data Mining Framework
A generic and extendible Multi-Agent Data Mining (MADM) framework, EMADS (the Extendible Multi-Agent Data mining System) is described. The central feature of the framework is that ...
Kamal Ali Albashiri, Frans Coenen