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» Approximation Algorithms for Data Placement Problems
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SARA
2009
Springer
14 years 14 days ago
Light Algorithms for Maintaining Max-RPC During Search
Abstract. This article presents two new algorithms whose purpose is to maintain the Max-RPC domain filtering consistency during search with a minimal memory footprint and implemen...
Julien Vion, Romuald Debruyne
ALT
2008
Springer
14 years 4 months ago
Smooth Boosting for Margin-Based Ranking
We propose a new boosting algorithm for bipartite ranking problems. Our boosting algorithm, called SoftRankBoost, is a modification of RankBoost which maintains only smooth distri...
Jun-ichi Moribe, Kohei Hatano, Eiji Takimoto, Masa...
ISAAC
2007
Springer
122views Algorithms» more  ISAAC 2007»
14 years 2 months ago
Compressing Spatio-temporal Trajectories
Trajectory data is becoming increasingly available and the size of the trajectories is getting larger. In this paper we study the problem of compressing spatio-temporal trajectorie...
Joachim Gudmundsson, Jyrki Katajainen, Damian Merr...
ICALP
2010
Springer
14 years 22 days ago
Placing Regenerators in Optical Networks to Satisfy Multiple Sets of Requests
The placement of regenerators in optical networks has become an active area of research during the last years. Given a set of lightpaths in a network G and a positive integer d, re...
George B. Mertzios, Ignasi Sau, Mordechai Shalom, ...
ICANN
2009
Springer
14 years 16 days ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber