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WABI
2005
Springer
15 years 11 months ago
Rotamer-Pair Energy Calculations Using a Trie Data Structure
Abstract. Protein design software places amino acid side chains by precomputing rotamer-pair energies and optimizing rotamer placement. If the software optimizes by rapid stochasti...
Andrew Leaver-Fay, Brian Kuhlman, Jack Snoeyink
NIPS
2008
15 years 7 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
RSS
2007
129views Robotics» more  RSS 2007»
15 years 7 months ago
Spatially-Adaptive Learning Rates for Online Incremental SLAM
— Several recent algorithms have formulated the SLAM problem in terms of non-linear pose graph optimization. These algorithms are attractive because they offer lower computationa...
Edwin Olson, John J. Leonard, Seth J. Teller
BMCBI
2005
99views more  BMCBI 2005»
15 years 6 months ago
Effective ambiguity checking in biosequence analysis
Background: Ambiguity is a problem in biosequence analysis that arises in various analysis tasks solved via dynamic programming, and in particular, in the modeling of families of ...
Janina Reeder, Peter Steffen, Robert Giegerich
ECAI
2010
Springer
15 years 7 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes