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» SNPs Problems, Complexity, and Algorithms
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80
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ISCAS
2006
IEEE
81views Hardware» more  ISCAS 2006»
15 years 6 months ago
Equivalent output-filtering using fast QRD-RLS algorithm for burst-type training applications
— Fast QR decomposition RLS (FQRD-RLS) algorithms are well known for their good numerical properties and low computational complexity. The FQRD-RLS algorithms do not provide acce...
Mobien Shoaib, Stefan Werner, J. A. Apoliná...
133
Voted
COMPGEOM
2005
ACM
15 years 2 months ago
Star splaying: an algorithm for repairing delaunay triangulations and convex hulls
Star splaying is a general-dimensional algorithm that takes as input a triangulation or an approximation of a convex hull, and produces the Delaunay triangulation, weighted Delaun...
Jonathan Richard Shewchuk
91
Voted
ESA
2010
Springer
172views Algorithms» more  ESA 2010»
15 years 1 months ago
Algorithmic Meta-theorems for Restrictions of Treewidth
Abstract. Possibly the most famous algorithmic meta-theorem is Courcelle's theorem, which states that all MSO-expressible graph properties are decidable in linear time for gra...
Michael Lampis
107
Voted
TSMC
2008
132views more  TSMC 2008»
15 years 16 days ago
Ensemble Algorithms in Reinforcement Learning
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
Marco A. Wiering, Hado van Hasselt
123
Voted
JMLR
2010
147views more  JMLR 2010»
14 years 7 months ago
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
Rahul Mazumder, Trevor Hastie, Robert Tibshirani