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» Programming Methodologies in GCLA
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NIPS
2007
13 years 9 months ago
A New View of Automatic Relevance Determination
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
David P. Wipf, Srikantan S. Nagarajan
WSC
1997
13 years 8 months ago
Integrating Distributed Simulation Objects
Creating comprehensive simulation models can be expensive and time consuming. This paper discusses our efforts to develop a general methodology that will allow users to quickly an...
Joseph A. Heim
ACL
1996
13 years 8 months ago
Linguistic Structure as Composition and Perturbation
This paper discusses the problem of learning language from unprocessed text and speech signals, concentrating on the problem of learning a lexicon. In particular, it argues for a ...
Carl de Marcken
BIODATAMINING
2008
147views more  BIODATAMINING 2008»
13 years 7 months ago
Neural networks for genetic epidemiology: past, present, and future
During the past two decades, the field of human genetics has experienced an information explosion. The completion of the human genome project and the development of high throughpu...
Alison A. Motsinger-Reif, Marylyn D. Ritchie
BMCBI
2008
242views more  BMCBI 2008»
13 years 7 months ago
annot8r: GO, EC and KEGG annotation of EST datasets
Background: The expressed sequence tag (EST) methodology is an attractive option for the generation of sequence data for species for which no completely sequenced genome is availa...
Ralf Schmid, Mark L. Blaxter