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» Learning Classifiers from Semantically Heterogeneous Data
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ESANN
2000
13 years 11 months ago
Distributed clustering and local regression for knowledge discovery in multiple spatial databases
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
CVPR
2007
IEEE
15 years 8 days ago
Learning Visual Representations using Images with Captions
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
Ariadna Quattoni, Michael Collins, Trevor Darrell
GEM
2008
13 years 11 months ago
Evaluating a Parallel Evolutionary Algorithm on the Chess Endgame Problem
Classifying the endgame positions in Chess can be challenging for humans and is known to be a difficult task in machine learning. An evolutionary algorithm would seem to be the ide...
Wayne Iba, Kelsey Marshman, Benjamin Fisk
CAISE
2005
Springer
14 years 3 months ago
BInXS: A Process for Integration of XML Schemata
This paper presents a detailed integration process for XML schemata called BInXS. BInXS adopts a global-as-view integration approach that builds a global schema from a set of heter...
Ronaldo dos Santos Mello, Carlos A. Heuser
JDWM
2007
112views more  JDWM 2007»
13 years 10 months ago
Empowering the OLAP Technology to Support Complex Dimension Hierarchies
Comprehensive data analysis has become indispensable in a variety of domains. OLAP (On-Line Analytical Processing) systems tend to perform poorly or even fail when applied to comp...
Svetlana Mansmann, Marc H. Scholl