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144
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BMCBI
2010
133views more  BMCBI 2010»
15 years 4 months ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...
CORR
2008
Springer
173views Education» more  CORR 2008»
15 years 4 months ago
Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications
In this paper, we propose a general cross-layer optimization framework in which we explicitly consider both the heterogeneous and dynamically changing characteristics of delay-sens...
Fangwen Fu, Mihaela van der Schaar
134
Voted
IJAR
2008
161views more  IJAR 2008»
15 years 4 months ago
Bayesian learning for a class of priors with prescribed marginals
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
Hermann Held, Thomas Augustin, Elmar Kriegler
BMCBI
2007
133views more  BMCBI 2007»
15 years 4 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
166
Voted
TMC
2008
78views more  TMC 2008»
15 years 4 months ago
SELECT: Self-Learning Collision Avoidance for Wireless Networks
The limited number of orthogonal channels and autonomous installations of hotspots and home wireless networks often leave neighboring 802.11 basic service sets (BSSs) operating on ...
Chun-cheng Chen, Eunsoo Seo, Hwangnam Kim, Haiyun ...