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BMCBI
2010
112views more  BMCBI 2010»
15 years 1 months ago
A parameter-adaptive dynamic programming approach for inferring cophylogenies
Background: Coevolutionary systems like hosts and their parasites are commonly used model systems for evolutionary studies. Inferring the coevolutionary history based on given phy...
Daniel Merkle, Martin Middendorf, Nicolas Wieseke
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
16 years 2 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
FLAIRS
2004
15 years 3 months ago
An Application of Neural Networks to Sequence Analysis and Genre Identification
This study borrowed sequence analysis techniques from the genetic sciences and applied them to a similar problem in email filtering and web searching. Genre identification is the ...
David Bisant
BMCBI
2008
83views more  BMCBI 2008»
15 years 1 months ago
Models of deletion for visualizing bacterial variation: an application to tuberculosis spoligotypes
Background: Molecular typing methods are commonly used to study genetic relationships among bacterial isolates. Many of these methods have become standardized and produce portable...
Josephine F. Reyes, Andrew R. Francis, Mark M. Tan...
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 2 months ago
Machine learning for online query relaxation
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
Ion Muslea