Sciweavers

1019 search results - page 84 / 204
» Managing Complexity in Large Learning Robotic Systems
Sort
View
COLING
2010
13 years 2 months ago
Dependency-Driven Feature-based Learning for Extracting Protein-Protein Interactions from Biomedical Text
Recent kernel-based PPI extraction systems achieve promising performance because of their capability to capture structural syntactic information, but at the expense of computation...
Bing Liu, Longhua Qian, Hongling Wang, Guodong Zho...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
14 years 2 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
ROBOCUP
1998
Springer
101views Robotics» more  ROBOCUP 1998»
14 years 1 days ago
Evolving Team Darwin United
The RoboCup simulator competition is one of the most challenging international proving grounds for contemporary AI research. Exactly because of the high level of complexity and a l...
David Andre, Astro Teller
NOMS
2008
IEEE
181views Communications» more  NOMS 2008»
14 years 2 months ago
Coordinated management of power usage and runtime performance
— With the continued growth of computing power and reduction in physical size of enterprise servers, the need for actively managing electrical power usage in large datacenters is...
Malgorzata Steinder, Ian Whalley, James E. Hanson,...
FLAIRS
2008
13 years 10 months ago
Learning in the Lexical-Grammatical Interface
Children are facile at both discovering word boundaries and using those words to build higher-level structures in tandem. Current research treats lexical acquisition and grammar i...
Tom Armstrong, Tim Oates