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» Learning to Control in Operational Space
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ATAL
2005
Springer
15 years 9 months ago
Rapid on-line temporal sequence prediction by an adaptive agent
Robust sequence prediction is an essential component of an intelligent agent acting in a dynamic world. We consider the case of near-future event prediction by an online learning ...
Steven Jensen, Daniel Boley, Maria L. Gini, Paul R...
ISDA
2010
IEEE
15 years 2 months ago
Comparing SVM ensembles for imbalanced datasets
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
Vasudha Bhatnagar, Manju Bhardwaj, Ashish Mahabal
IROS
2006
IEEE
109views Robotics» more  IROS 2006»
15 years 10 months ago
SUPERBOT: A Deployable, Multi-Functional, and Modular Self-Reconfigurable Robotic System
– Self-reconfigurable robots are modular robots that can autonomously change their shape and size to meet specific operational demands. Recently, there has been a great interest ...
Behnam Salemi, Mark Moll, Wei-Min Shen
PODC
2009
ACM
16 years 4 months ago
Brief announcement: minimum spanning trees and cone-based topology control
Consider a setting where nodes can vary their transmission power thereby changing the network topology, the goal of topology control is to reduce the transmission power while ensu...
Alejandro Cornejo, Nancy A. Lynch
COOPIS
2004
IEEE
15 years 7 months ago
Dynamic Access Control for Ubiquitous Environments
Current ubiquitous computing environments provide many kinds of information. This information may be accessed by different users under varying conditions depending on various conte...
Jehan Wickramasuriya, Nalini Venkatasubramanian