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» Approximation Algorithms for Data Placement Problems
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NIPS
2001
13 years 9 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
ICPR
2008
IEEE
14 years 9 months ago
Tailoring text for automatic layouting of newspaper pages
We consider layouting news articles on a page as a cutting and packing problem with output maximization. We propose to tailor news articles by employing automatic summarization to...
Leonhard Hennig, Thomas Strecker
COMPGEOM
2006
ACM
14 years 1 months ago
A fast k-means implementation using coresets
In this paper we develop an efficient implementation for a k-means clustering algorithm. The novel feature of our algorithm is that it uses coresets to speed up the algorithm. A ...
Gereon Frahling, Christian Sohler
WSCG
2004
190views more  WSCG 2004»
13 years 9 months ago
Scalable Compression and Rendering of Textured Terrain Data
Several sophisticated methods are available for efficient rendering of out-of-core terrain data sets. For huge data sets the use of preprocessed tiles has proven to be more effici...
Roland Wahl, Manuel Massing, Patrick Degener, Mich...
CGF
2006
125views more  CGF 2006»
13 years 8 months ago
Translational Covering of Closed Planar Cubic B-Spline Curves
Spline curves are useful in a variety of geometric modeling and graphics applications and covering problems abound in practical settings. This work defines a class of covering dec...
Cristina Neacsu, Karen Daniels