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» Large Grain Size Stochastic Optimization Alignment
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97
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MP
2002
93views more  MP 2002»
15 years 24 days ago
Conditioning of convex piecewise linear stochastic programs
In this paper we consider stochastic programming problems where the objective function is given as an expected value of a convex piecewise linear random function. With an optimal s...
Alexander Shapiro, Tito Homem-de-Mello, Joocheol K...
101
Voted
BMCBI
2010
126views more  BMCBI 2010»
15 years 1 months ago
Cgaln: fast and space-efficient whole-genome alignment
Background: Whole-genome sequence alignment is an essential process for extracting valuable information about the functions, evolution, and peculiarities of genomes under investig...
Ryuichiro Nakato, Osamu Gotoh
161
Voted
EDBT
2010
ACM
392views Database» more  EDBT 2010»
15 years 7 months ago
Position list word aligned hybrid: optimizing space and performance for compressed bitmaps
Compressed bitmap indexes are increasingly used for efficiently querying very large and complex databases. The Word Aligned Hybrid (WAH) bitmap compression scheme is commonly rec...
François Deliège, Torben Bach Peders...
98
Voted
ICRA
2006
IEEE
102views Robotics» more  ICRA 2006»
15 years 7 months ago
Fast Iterative Alignment of Pose Graphs with Poor Initial Estimates
— A robot exploring an environment can estimate its own motion and the relative positions of features in the environment. Simultaneous Localization and Mapping (SLAM) algorithms ...
Edwin Olson, John J. Leonard, Seth J. Teller
109
Voted
ML
2002
ACM
143views Machine Learning» more  ML 2002»
15 years 24 days ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng