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» Termination Analysis with Algorithmic Learning
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117
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BIBM
2008
IEEE
105views Bioinformatics» more  BIBM 2008»
15 years 10 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 9 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...
145
Voted
NIPS
2008
15 years 4 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
101
Voted
FLOPS
2006
Springer
15 years 7 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
16 years 4 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