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» Discovering Classification from Data of Multiple Sources
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ICIP
2010
IEEE
13 years 5 months ago
Distributed classification of multiple observations by consensus
We consider the problem of distributed classification of multiple observations of the same object that are collected in an ad-hoc network of vision sensors. Assuming that each sen...
Effrosini Kokiopoulou, Pascal Frossard
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 8 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
ICCS
2005
Springer
14 years 1 months ago
Querying a Bioinformatic Data Sources Registry with Concept Lattices
Abstract Bioinformatic data sources available on the web are multiple and heterogenous. The lack of documentation and the difficulty of interaction with these data banks require us...
Nizar Messai, Marie-Dominique Devignes, Amedeo Nap...
ICDE
2004
IEEE
179views Database» more  ICDE 2004»
14 years 9 months ago
CrossMine: Efficient Classification Across Multiple Database Relations
Most of today's structured data is stored in relational databases. Such a database consists of multiple relations which are linked together conceptually via entity-relationsh...
Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu
ISMB
2001
13 years 9 months ago
Molecular classification of multiple tumor types
Using gene expression data to classify tumor types is a very promising tool in cancer diagnosis. Previous works show several pairs of tumor types can be successfully distinguished...
Chen-Hsiang Yeang, Sridhar Ramaswamy, Pablo Tamayo...