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» Learning from Multiple Sources of Inaccurate Data
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118
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DKE
2006
138views more  DKE 2006»
15 years 3 months ago
Using the uni-level description (ULD) to support data-model interoperability
We describe a framework called the Uni-Level Description (ULD) for accurately representing information from a broad range of data models. The ULD extends previous metadata-model a...
Shawn Bowers, Lois M. L. Delcambre
136
Voted
EUROMED
2010
15 years 2 months ago
Architectural Heritage Online: Ontology-Driven Website Generation for World Heritage Sites in Danger
We introduce an online knowledge base for semantic representation and annotation of a world heritage site in danger. For this purpose we designed ontology inside the protégé tool...
Elham Andaroodi, Asanobu Kitamoto
124
Voted
GEOINFO
2007
15 years 5 months ago
Comparison of Machine Learning Algorithms for Mapping the Phytophysiognomies of the Brazilian Cerrado
This present work describes the classification of the Phytophysiognomies present in the Brazilian Cerrado biome through the means Artificial Intelligence; data from remote sensing ...
Luciano T. de Oliveira, Thomaz C. de A. Oliveira, ...
157
Voted
KDD
2010
ACM
215views Data Mining» more  KDD 2010»
15 years 7 months ago
On the quality of inferring interests from social neighbors
This paper intends to provide some insights of a scientific problem: how likely one’s interests can be inferred from his/her social connections – friends, friends’ friends,...
Zhen Wen, Ching-Yung Lin
140
Voted
AAAI
2012
13 years 6 months ago
Manifold Warping: Manifold Alignment over Time
Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...
Hoa Trong Vu, Clifton Carey, Sridhar Mahadevan