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EWRL
2008
15 years 8 months ago
Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem
Two variable metric reinforcement learning methods, the natural actor-critic algorithm and the covariance matrix adaptation evolution strategy, are compared on a conceptual level a...
Verena Heidrich-Meisner, Christian Igel
ALT
2010
Springer
15 years 8 months ago
Lower Bounds on Learning Random Structures with Statistical Queries
We show that random DNF formulas, random log-depth decision trees and random deterministic finite acceptors cannot be weakly learned with a polynomial number of statistical queries...
Dana Angluin, David Eisenstat, Leonid Kontorovich,...
DNA
2005
Springer
148views Bioinformatics» more  DNA 2005»
16 years 8 days ago
Photo- and Thermoregulation of DNA Nanomachines
We have been investigating DNA state machines, especially those based on the opening of hairpin molecules in which state transitions are realized as hairpin loops are opened by mo...
Keiichiro Takahashi, Satsuki Yaegashi, Hiroyuki As...
161
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ICML
2003
IEEE
16 years 7 months ago
The Set Covering Machine with Data-Dependent Half-Spaces
We examine the set covering machine when it uses data-dependent half-spaces for its set of features and bound its generalization error in terms of the number of training errors an...
Mario Marchand, Mohak Shah, John Shawe-Taylor, Mar...
ISCAS
2007
IEEE
149views Hardware» more  ISCAS 2007»
16 years 1 months ago
Low-Power Circuits for Brain-Machine Interfaces
—This paper presents work on ultra-low-power circuits for brain–machine interfaces with applications for paralysis prosthetics, stroke, Parkinson’s disease, epilepsy, prosthe...
Rahul Sarpeshkar, Woradorn Wattanapanitch, Benjami...