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IROS
2008
IEEE
156views Robotics» more  IROS 2008»
16 years 17 days ago
Bayesian state estimation and behavior selection for autonomous robotic exploration in dynamic environments
— In order to be truly autonomous, robots that operate in natural, populated environments must have the ability to create a model of these unpredictable dynamic environments and ...
Georgios Lidoris, Dirk Wollherr, Martin Buss
IJCNN
2006
IEEE
16 years 6 days 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...
CSDA
2008
110views more  CSDA 2008»
15 years 6 months ago
Computing and using residuals in time series models
The most often used approaches to obtaining and using residuals in applied work with time series models, are unified and documented with both partially-known and new features. Spe...
José Alberto Mauricio
BMCBI
2008
103views more  BMCBI 2008»
15 years 6 months ago
TOPS++FATCAT: Fast flexible structural alignment using constraints derived from TOPS+ Strings Model
Background: Protein structure analysis and comparison are major challenges in structural bioinformatics. Despite the existence of many tools and algorithms, very few of them have ...
Mallika Veeramalai, Yuzhen Ye, Adam Godzik
CONTEXT
2001
Springer
15 years 10 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...