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JMLR
2002
125views more  JMLR 2002»
15 years 5 months ago
Lyapunov Design for Safe Reinforcement Learning
Lyapunov design methods are used widely in control engineering to design controllers that achieve qualitative objectives, such as stabilizing a system or maintaining a system'...
Theodore J. Perkins, Andrew G. Barto
163
Voted
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
16 years 7 days ago
Learning to Select State Machines using Expert Advice on an Autonomous Robot
— Hierarchical state machines have proven to be a powerful tool for controlling autonomous robots due to their flexibility and modularity. For most real robot implementations, h...
Brenna Argall, Brett Browning, Manuela M. Veloso
WSC
1997
15 years 7 months ago
Covalidation of Dissimilarly Structured Models
A methodology is presented which allows comparison between models under different modeling paradigms. Consider the following situation: Two models have been constructed to study d...
Samuel A. Wright, Kenneth W. Bauer Jr.
BMCBI
2006
143views more  BMCBI 2006»
15 years 6 months ago
Application of protein structure alignments to iterated hidden Markov model protocols for structure prediction
Background: One of the most powerful methods for the prediction of protein structure from sequence information alone is the iterative construction of profile-type models. Because ...
Eric D. Scheeff, Philip E. Bourne
189
Voted
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 6 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid