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» Termination Analysis with Algorithmic Learning
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BIBM
2008
IEEE
105views Bioinformatics» more  BIBM 2008»
15 years 4 months ago
Energy Profile and Secondary Structure Impact shRNA Efficacy
Many characteristics of functional synthetic siRNAs have been identified. Our three-phase algorithm was developed to design siRNA on a wholegenome scale based on these characteris...
Hong Zhou, Xiao Zeng
EUROGP
2005
Springer
15 years 3 months ago
Understanding Evolved Genetic Programs for a Real World Object Detection Problem
We describe an approach to understanding evolved programs for a real world object detection problem, that of finding orthodontic landmarks in cranio-facial X-Rays. The approach in...
Victor Ciesielski, Andrew Innes, Sabu John, John M...
NIPS
2008
14 years 11 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake
FLOPS
2006
Springer
15 years 1 months ago
Resource Analysis by Sup-interpretation
We propose a new method to control memory resources by static analysis. For this, we introduce the notion of sup-interpretation which bounds from above the size of function outputs...
Jean-Yves Marion, Romain Péchoux
ICML
2005
IEEE
15 years 10 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore