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» Automatic Parameter Learning for Multiple Network Alignment
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RECOMB
2003
Springer
15 years 12 months ago
A multi-expert system for the automatic detection of protein domains from sequence information
We describe a novel method for detecting the domain structure of a protein from sequence information alone. The method is based on analyzing multiple sequence alignments that are ...
Niranjan Nagarajan, Golan Yona
IIS
2000
15 years 29 days ago
Extension of the HEPAR II Model to Multiple-Disorder Diagnosis
The Hepar II system is based on a Bayesian network model of a subset of the domain of hepatology in which the structure of the network is elicited from an expert diagnostician and ...
Agnieszka Onisko, Marek Druzdezel, Hanna Wasyluk
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 4 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
110
Voted
KDD
2009
ACM
229views Data Mining» more  KDD 2009»
16 years 4 days ago
Relational learning via latent social dimensions
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
Lei Tang, Huan Liu
MMB
2012
Springer
259views Communications» more  MMB 2012»
13 years 7 months ago
Boosting Design Space Explorations with Existing or Automatically Learned Knowledge
Abstract. During development, processor architectures can be tuned and configured by many different parameters. For benchmarking, automatic design space explorations (DSEs) with h...
Ralf Jahr, Horia Calborean, Lucian Vintan, Theo Un...