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IJCNN
2006
IEEE
15 years 4 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...
GIS
2009
ACM
15 years 2 months ago
A multidimensional model representing continuous fields in spatial data warehouses
Data warehouses and On-Line Analytical Processing (OLAP) provide an analysis framework supporting the decision making process. In many application domains, complex analysis tasks ...
Alejandro A. Vaisman, Esteban Zimányi
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
15 years 3 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diï...
Xiao Zhang, Prasenjit Mitra
SSDBM
2008
IEEE
90views Database» more  SSDBM 2008»
15 years 4 months ago
Ontology Database: A New Method for Semantic Modeling and an Application to Brainwave Data
We propose an automatic method for modeling a relational database that uses SQL triggers and foreign-keys to efficiently answer positive semantic queries about ground instances for...
Paea LePendu, Dejing Dou, Gwen A. Frishkoff, Jiawe...
JCNS
2010
104views more  JCNS 2010»
14 years 8 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...