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» Relational data mapping in MIQIS
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IJCNN
2006
IEEE
15 years 3 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...
AI
2008
Springer
14 years 10 months ago
Label ranking by learning pairwise preferences
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
Eyke Hüllermeier, Johannes Fürnkranz, We...
ICASSP
2008
IEEE
15 years 4 months ago
Maximum conditional likelihood linear regression and maximum a posteriori for hidden conditional random fields speaker adaptatio
This paper shows how to improve Hidden Conditional Random Fields (HCRFs) for phone classification by applying various speaker adaptation techniques. These include Maximum A Poste...
Yun-Hsuan Sung, Constantinos Boulis, Daniel Jurafs...
ICCS
2004
Springer
15 years 3 months ago
A Note on Data-Driven Contaminant Simulation
Abstract. In this paper we introduce a numerical procedure for performing dynamic data driven simulations (DDDAS). The main ingredient of our simulation is the multiscale interpola...
Craig C. Douglas, Chad E. Shannon, Yalchin Efendie...
VLDB
2007
ACM
139views Database» more  VLDB 2007»
15 years 10 months ago
FuSem - Exploring Different Semantics of Data Fusion
Data fusion is the final step of a typical data integration process, after schematic conflicts have been overcome and after duplicates have been correctly identified. We present t...
Jens Bleiholder, Karsten Draba, Felix Naumann