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» Multicovering Bounds from Relative Covering Radii
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JACM
2006
99views more  JACM 2006»
13 years 5 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
SODA
2010
ACM
261views Algorithms» more  SODA 2010»
14 years 2 months ago
Bidimensionality and Kernels
Bidimensionality theory appears to be a powerful framework in the development of meta-algorithmic techniques. It was introduced by Demaine et al. [J. ACM 2005 ] as a tool to obtai...
Fedor V. Fomin, Daniel Lokshtanov, Saket Saurabh, ...
WG
2005
Springer
13 years 10 months ago
Hypertree Decompositions: Structure, Algorithms, and Applications
We review the concepts of hypertree decomposition and hypertree width from a graph theoretical perspective and report on a number of recent results related to these concepts. We al...
Georg Gottlob, Martin Grohe, Nysret Musliu, Marko ...
COMSWARE
2007
IEEE
13 years 9 months ago
Efficient Design of End-to-End Probes for Source-Routed Networks
Migration to a converged network has caused service providers to deploy real time applications such as voice over an IP (VoIP) network. From the provider's perspective, the s...
Srinivasan Parthasarathya, Rajeev Rastogi, Marina ...
BMCBI
2007
105views more  BMCBI 2007»
13 years 5 months ago
Finding regulatory elements and regulatory motifs: a general probabilistic framework
Over the last two decades a large number of algorithms has been developed for regulatory motif finding. Here we show how many of these algorithms, especially those that model bind...
Erik van Nimwegen