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135
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BMCBI
2007
134views more  BMCBI 2007»
15 years 2 months ago
Efficient pairwise RNA structure prediction using probabilistic alignment constraints in Dynalign
Background: Joint alignment and secondary structure prediction of two RNA sequences can significantly improve the accuracy of the structural predictions. Methods addressing this p...
Arif Ozgun Harmanci, Gaurav Sharma, David H. Mathe...
134
Voted
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
15 years 8 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...
117
Voted
AMAI
2004
Springer
15 years 8 months ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
145
Voted
TROB
2010
129views more  TROB 2010»
15 years 1 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
243
Voted
POPL
2004
ACM
16 years 3 months ago
Simple relational correctness proofs for static analyses and program transformations
We show how some classical static analyses for imperative programs, and the optimizing transformations which they enable, may be expressed and proved correct using elementary logi...
Nick Benton